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blind parameter estimation of pseudo-random binary code-linear frequency modulation signal based on Duffing oscillator at low SNR

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Chinese Physics B 2021年第5期30卷 312-319页

作者： Ke Wang Xiaopeng Yan† Ze Li Xinhong Hao Honghai Yu Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China

Conventional parameter estimation methods for pseudo-random binary code-linear frequency modulation(PRBC-LFM)signals require prior knowledge,are computationally complex,and exhibit poor performance at low signal-to-noise ratios(SNRs).To overcome these problems,a blind parameter estimation method based on a Duffing oscillator array is proposed.A new relationship formula among the state of the Duffing oscillator,the pseudo-random sequence of the PRBC-LFM signal,and the frequency difference between the PRBC-LFM signal and the periodic driving force signal of the Duffing oscillator is derived,providing the theoretical basis for blind parameter *** based on amplitude method,short-time Fourier transform method,and power spectrum entropy method are used to binarize the output of the Duffing oscillator array,and their performance is *** pseudo-random sequence is estimated using Duffing oscillator array synchronization,and the carrier frequency parameters are obtained by the relational expressions and characteristics of the difference *** results show that this blind estimation method overcomes limitations in prior knowledge and maintains good parameter estimation performance up to an SNR of-35 dB.

关键词： Duffing oscillator pseudo-random binary code-linear frequency modulation(PRBC-LFM)signal blind parameter estimation low signal-to-noise ratio(SNR)

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Low-Complexity blind parameter estimation in Wireless Systems with Noisy Sparse Signals

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2023年第10期22卷 7055-7071页

作者： Gallyas-Sanhueza, Alexandra Studer, Christoph Cornell Univ Sch Elect & Comp Engn Ithaca NY 14850 USA Swiss Fed Inst Technol Dept Informat Technol & Elect Engn CH-8092 Zurich Switzerland

Baseband processing algorithms often require knowledge of the noise power, signal power, or signal-to-noise ratio (SNR). In practice, these parameters are typically unknown and must be estimated. Furthermore, the mean-square error (MSE) is a desirable metric to be minimized in a variety of estimation and signal recovery algorithms. However, the MSE cannot directly be used as it depends on the true signal that is generally unknown to the estimator. In this paper, we propose novel blind estimators for the average noise power, average receive signal power, SNR, and MSE. The proposed estimators can be computed at low complexity and solely rely on the large-dimensional and sparse nature of the processed data. Our estimators can be used (i) to quickly track some of the key system parameters while avoiding additional pilot overhead, (ii) to design low-complexity nonparametric algorithms that require such quantities, and (iii) to accelerate more sophisticated estimation or recovery algorithms. We conduct a theoretical analysis of the proposed estimators for a Bernoulli complex Gaussian (BCG) prior, and we demonstrate their efficacy via synthetic experiments. We also provide three application examples that deviate from the BCG prior in millimeter-wave multi-antenna and cell-free wireless systems for which we develop nonparametric denoising algorithms that improve channel-estimation accuracy with a performance comparable to denoisers that assume perfect knowledge of the system parameters.

关键词： blind parameter estimation channel-vector denoising sparsity Stein's unbiased risk estimator (SURE) variance estimation wireless communication

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Joint synchronization and parameter estimation in OFDM signaling

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ETRI JOURNAL 2023年第2期45卷 226-239页

作者： Karami, Sara Bahramgiri, Hossein Malek Ashtar Univ Technol Fac Elect & Comp Engn Tehran Iran

Challenges in cognitive radio and tactical communications include recognizing anonymously received signals and estimating parameters in a blind or semiblind manner. In this paper, we examine this issue for orthogonal frequency division multiplexing (OFDM) signaling. There are several parameters in OFDM signaling, and the blind receiver must extract and consider the synchronization issue. We assume that the blind receiver is aware of modulation type, OFDM, and not aware of chip duration and the length of cyclic prefix. First, we present new criteria based on kurtosis to estimate these parameters and compare their performance at different levels of additive white Gaussian noise with methods based on correlation, kurtosis, maximum likelihood, and matched filter. Then, we perform synchronization and estimate the start time based on these criteria and several new criteria in two steps: fine and coarse synchronization. Finally, in a more practical setup, we present the idea of jointly estimating the mentioned parameters and the signal start time as coarse synchronization. We compare different criteria and show that one of the proposed criteria has the highest efficiency.

关键词： blind parameter estimation OFDM statistical signal processing time synchronization

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blind Symbol-Rate estimation for Short and Bursty Communications

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第11期71卷 12392-12396页

作者： Yang, Chaosan Liu, Xiaobei Guan, Yong Liang Liu, Rongke Qiu, Xin Li, Jinhai Chinese Acad Sci Inst Microelect Beijing 100029 Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China

The design of a blind receiver for unsynchronized bursty communications is a challenging task, especially when the data burst duration is very short and the over-sampling ratio (OSR) at the receiver is a non-integer value. In this article, the problem of blind symbol-rate estimation for bursty communications is studied. A cyclostationary method with bias removal (CS-BR) is proposed to improve the accuracy of the "OSR peak " detection in cyclostationary method when the length of signal burst is very short. Factors which affect the accuracy of the proposed blind symbol-rate estimation are thoroughly analyzed. Both field measurement data simulations and Monte Carlo simulations show that by using our proposed CS-BR method, the accuracy of blind symbol-rate estimation can be significantly improved, and the root-mean-square-error of the estimated OSR can be reduced to as small as 10(-4) even if each short data burst consists of only tens of symbols.

关键词： blind parameter estimation bursty communications signal processing discrete time Fourier transform (DTFT)

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Index Modulation Schemes for Terahertz Communications

Index Modulation Schemes for Terahertz Communications

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作者： Loukil, Mohamed Habib King Abdullah University of Science and Technology

学位级别：硕士

Terahertz (THz)-band communication is envisioned as a critical technology that could satisfy the need for much higher data rates in sixth generation wireless communi- cation (6G) systems and beyond. Although THz signal propagation suffers from huge spreading and molecular absorption losses that limit the achievable commu- nication ranges, ultra-massive multiple-input multiple-output (UM-MIMO) antenna arrays can introduce the required beamforming gains to compensate for these losses. The reconfigurable UM-MIMO systems of small footprints motivate the use of spatial modulation techniques. Furthermore, the ultra-wideband fragmented THz spectrum motivates the use of index modulation techniques over multicarrier channels. In this thesis, we consider the problem of efficient index mapping and data detection in THz- band index modulation paradigms. We first propose an accurate frequency-domain statistical UM-MIMO channel model for wideband multicarrier THz-band commu- nications by considering THz-specific features. We then propose several THz-band generalized index modulation schemes that provide various performance and complex- ity tradeoffs. We propose efficient algorithms for mapping information bits to antenna and frequency indices at the transmitter side to enhance the achievable data rates in THz channel uses. We further propose complementary low-complexity parameter estimation and data detection techniques at the receiver side that can scale efficiently with very high rates. We derive theoretical bounds on the achievable performance gains of the proposed solutions and generate extensive numerical results promoting the corresponding future 6G use cases.

关键词： Terahertz communications Terahertz channel model blind parameter estimation General index modulation Ultra-massive MIMO Array of subarrays

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Automated Symbol Rate estimation Over Frequency-Selective Fading Channel by Using Deep Neural Network

Automated Symbol Rate Estimation Over Frequency-Selective Fa...

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IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS)

作者： Chaudhari, Mahesh S. Majhi, Sudhan Indian Inst Technol Dept Elect Engn Patna Bihar India

ISBN: (纸本)9781728192901

adaptive communication system is going to play a major role for fifth-generation (5G) and beyond wireless communication where the physical layer signal parameters need to be changed at the transmitters as per system requirement and the receiver needs to estimate them to recover the signal. In this paper, we have proposed an efficient and robust automated symbol rate estimation model for single carrier system over frequency-selective fading environment by using deep neural network (DNN) approach. The proposed scheme estimates symbol rate without having any prior knowledge of the signal bandwidth which was the main assumption for existing statistical methods. In the proposed scheme, no additional knowledge such as channel state information (CSI) and synchronization parameters are required to estimate the symbol rate. The proposed model outperforms the existing statistical models in terms of the performance. The performance of the symbol rate estimator is depicted by the normalized mean square error (NMSE).

关键词： Automated symbol rate estimation blind parameter estimation deep neural network modulation classification symbol timing offset

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Joint signal detection and synchronization for OFDM based cognitive radio networks and its implementation

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WIRELESS NETWORKS 2019年第2期25卷 699-712页

作者： Kumar, Manish Majhi, Sudhan Indian Inst Technol Dept Elect Engn Patna Bihar India

In the cooperative cognitive radio networks (CRN), often secondary user (SU) relays the information of primary user (PU) as a rewarding relay to improve diversity gain of PU without being a legitimate user. So the SU needs to detect the signal, blindly estimate the parameters introduced in channel and reconstruct the signal before relaying it to the primary receiver. In this paper, a joint scheme for signal detection and non-data-aided (blind) parameter estimation of orthogonal frequency division multiplexing (OFDM) based CRN has been discussed. Based upon binary hypothesis testing problem, the SU formulates a minimum cost signal detection scheme for the presence of OFDM based PU signal in CRN. The probability of detection, probability of false alarm and receiver operating characteristics have been presented to illustrate the performance of signal detection scheme in the CRN. Further, the effective throughput analysis of the secondary system has been demonstrated in the context when the primary system is detected as idle. blind synchronous parameters of OFDM signal such as carrier frequency offset and symbol timing offset has been presented over the wireless fading channel in the CRN. Existing theoretical studies on blind parameter estimation algorithms for signals have been carried out but most of them have not been implemented in order to validate their feasibility. Here, a software-defined radio testbed has been implemented using national instruments hardware in a multipath indoor environment and experimental results have been provided using real measurement system. The preliminary measurement and simulation results demonstrate that the proposed blind estimator is capable of estimating the concerned parameters and constellation symbols over an indoor propagation environment.

关键词： Cognitive radio network Detection and estimation Orthogonal frequency division multiplexing blind parameter estimation Software-defined radio

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Implementation and Measurement of blind Wireless Receiver for Single Carrier Systems

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2017年第8期66卷 1965-1975页

作者： Majhi, Sudhan Kumar, Manish Xiang, Weidong IIT Patna Dept Elect Engn Patna 801106 Bihar India Univ Michigan Dept Elect & Comp Engn Dearborn MI 48128 USA

Theoretical studies on nondata aided (blind) parameter estimation algorithms for signals have been carried out over the past decades. However, most of them have not been implemented and measured in order to validate their feasibility. In this paper, at first, the blind parameter estimation algorithms have been presented, which facilitate to the design of a blind wireless receiver (BWR) where information bits are retrieved successfully. Next, a software-defined radio testbed has been implemented and a measurement method setup is proposed. Here, an uncertainty analysis for the estimation of single carrier system parameters, such as carrier frequency, symbol rate, and symbol timing offset, has been presented in terms of normalized mean-squared error between estimated and true values of the parameter. The success rate of blind modulation classification has been presented for four classes of a modulation scheme. These preliminary studies and measurement results demonstrate that the proposed BWR prototype is capable of estimating the concerned parameters and constellation symbols over an indoor propagation environment. The symbol-error rate for quadrature phase shift keying modulation is finally gained through simulations.

关键词： blind parameter estimation blind wireless receiver (BWR) software-defined radio (SDR)

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Cyclostationarity Based blind Block Timing estimation for Alamouti Coded MIMO Signals

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IEEE COMMUNICATIONS LETTERS 2017年第6期21卷 1341-1344页

作者： Gul, Serhat Oner, Menguc Cirpan, Hakan Ali Istanbul Tech Univ TR-34469 Istanbul Turkey Isik Univ TR-34980 Istanbul Turkey Univ Sussex Brighton BN1 9RH E Sussex England

blind parameter estimation algorithms provide a powerful tool for application scenarios where the use of training or pilot sequences is not desirable, e.g., in order to improve the bandwidth efficiency of the transmission, or in noncooperative scenarios where such sequences are not available to the receiver. This letter proposes a blind block timing estimation algorithm for Alamouti space-time block coded signals exploiting the second order joint cyclostationary characteristics of the received signal vector, which is induced by the space time block coding operation performed by the transmitter. The proposed algorithm outperforms the existing algorithms by a wide margin.

关键词： Alamouti space-time block code MIMO blind parameter estimation timing synchronization

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parameter estimation of Second order Cyclostationarity Signals using BT-SCLD and VBT-SCLD Techniques

Parameter Estimation of Second order Cyclostationarity Signa...

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International Conference on Electronics and Communication Systems (ICECS)

作者： Darshini, R. Priya Vijayprasath, S. M Kumarasamy Coll Engn Dept ECE Karur Tamil Nadu India

ISBN: (纸本)9781479923205

blind parameter estimation and classification is a key task in military and commercial applications such as electronic warfare, spectrum monitoring, and spectrum awareness in cognitive radio systems. Cyclostationary signals is one, that exhibits a statistical property to identify whether the signal is treated to be a stochastic or a deterministic time. However there are many criterias to be developed, led to investigate the problem in digital modulation. The problems are overcome by using different algorithms which includes Single Carrier Linearly Digitally modulated (SCLD) signals, Orthogonal Frequency Division Multiplexing (OFDM), Block Transmitted-Single Carrier Linearly Digitally modulated (BT-SCLD) signals. Analytical closed-form expressions are derived for the cyclic autocorrelation function (CAF), cyclic spectrum (CS), complementary CAF (CCAF), and corresponding cycle frequencies (CFs). Furthermore, the conditions for avoiding aliasing in the cycle and spectral frequency domains are obtained. The paper demonstrates that the effectiveness of proposed algorithm under low signal-to-noise ratios (SNRs), short sensing times, and various channel conditions.

关键词： signal classification cyclostationarity statistics blind parameter estimation Cyclic autocorrelation function signal-to-noise ratio spatial multiplexing

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