A novel blind algorithm is developed to mitigate the residual inter-block interference (RIBI) for orthogonal frequency division multiplexing (OFDM) systems. The algorithm is based on the RIBI cancellation and cyclic s...
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A novel blind algorithm is developed to mitigate the residual inter-block interference (RIBI) for orthogonal frequency division multiplexing (OFDM) systems. The algorithm is based on the RIBI cancellation and cyclic structure recovery. Simulation shows that the proposed algorithm can effectively mitigate RIBI and has a low computation complexity.
We propose a novel correlation-based blind polarization demultiplexing technique for coherent optical communication systems. The basic procedure involves the blind estimation of various channel parameters through corr...
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We propose a novel correlation-based blind polarization demultiplexing technique for coherent optical communication systems. The basic procedure involves the blind estimation of various channel parameters through correlation analysis, and resolving ambiguities using pilot symbols. In a 56 Gb/s/polarizaton multiplexing transmission system employing quadrature phase-shift keying, for both symbol-rate sampling and double symbol-rate sampling, the proposed algorithm achieves the same performance as that of the receiver with known channel parameters and significantly outperforms the constant modulus algorithm.
New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented, A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter...
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New blind adaptive interference suppression algorithms for DS/CDMA communication systems are presented, A generalized projection algorithm is presented to update a multiple access interference (MAI) suppression filter in a static communication environment, The algorithm adaptively adjusts the filter coefficients by iteratively projecting them onto constraint sets, The constraint sets consist of data sets and property sets, which are obtained from the received signal and prior knowledge of the desired signal, respectively, A space alternating generalized projection algorithm with approximate EM mapping is also presented to suppress the MAI in a dynamic communication environment, This algorithm jointly estimates the filter and desired signal amplitude using a stochastic approximation of the EM algorithm, The performance characteristics of the proposed algorithms are shown by output signal-to-interference ratio and bit-error-rate simulation results. The results show that the proposed algorithms significantly outperform the existing adaptive algorithms in steady state.
In this letter we verify that a blind adaptive algorithm operating at a low intermediate frequency (Low-IF) can be applied to a system where carrier phase synchronization has not been achieved. We consider a quadratur...
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In this letter we verify that a blind adaptive algorithm operating at a low intermediate frequency (Low-IF) can be applied to a system where carrier phase synchronization has not been achieved. We consider a quadrature amplitude shift keyed (QPSK) signal as the transmitted signal and assume that the orthogonal low intermediate sinusoidal frequency used to generate the transmitted signal is well known. The proposed algorithm combines two algorithms: Namely, the least mean square (LMS) algorithm which has a cost function with unique minimum, and the constant modulus algorithm (CMA), which was first proposed by Godard. By doing this and operating the equalizer at a rate greater than the symbol rate, we take advantage of the variable amplitude of the sub-carriers and the fast convergence of LMS algorithm, so as to achieve a faster convergence speed. When the computer simulation results of the proposed algorithm are compared with the constant modulus algorithm (CMA) and the modified CMA (MCMA), we observed that the proposed algorithm exhibited a faster convergence speed.
A fast blind adaptive beamforming algorithm is proposed in code-division multiple-access wireless systems based on an array pattern synthesis approach. By incorporating an interference suppression mechanism in the ite...
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A fast blind adaptive beamforming algorithm is proposed in code-division multiple-access wireless systems based on an array pattern synthesis approach. By incorporating an interference suppression mechanism in the iterative procedure, the proposed algorithm outperforms conventional blind algorithms. Two practical adaptive beamforming algorithms are further presented, which provide fast convergence speed with low complexity. The simulation results demonstrate the effectiveness of the proposed adaptive beamforming algorithms in various signal environments.
Adaptive beamforming plays an important role in smart antenna systems. Nonblind adaptive algorithm utilizes the known training sequence to update the weights of antenna array at the cost of low transmission efficiency...
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ISBN:
(纸本)9781538632574
Adaptive beamforming plays an important role in smart antenna systems. Nonblind adaptive algorithm utilizes the known training sequence to update the weights of antenna array at the cost of low transmission efficiency. Without sending training sequences, blind adaptive algorithm is a solution to implement beamforming and increase the transmission efficiency. Two classic blind algorithms are studied, namely constant modulus (CM) algorithm and Least squares-constant modulus (LS-CM) algorithm. Considering the advantages of the nonblind and blind algorithms, a semi-blind adaptive beamforming based on CM algorithm is proposed in this paper. Simulation results indicate it has comparable performance compared with nonblind adaptive algorithm, while it only needs the training sequence in the first iteration.
Non synchronous random access is envisaged for sporadic traffic to limit the amount of the exchanged signaling messages. Burst data transmission is commonly used in wireless communication systems. Each burst begins wi...
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ISBN:
(纸本)9781467365406
Non synchronous random access is envisaged for sporadic traffic to limit the amount of the exchanged signaling messages. Burst data transmission is commonly used in wireless communication systems. Each burst begins with a preamble which is used to synchronize the receiver. When the initial estimation of the Carrier Frequency Offset is coarse, and/or the burst duration is relatively long, a phase tracking algorithm is required to track any residual phase during the payload transmission. In this paper we investigate a blind phase tracking algorithm for Filter Bank Multicarrier waveforms. Different algorithms are described and evaluated. A comparison with state of the art algorithms is discussed. Finally we describe an algorithm based on sign statistics that outperforms the state of the art algorithms while reducing the complexity.
blind mismatch correction of time-interleaved analog-to-digital converters (TI-ADC) is a challenging task. We present a practical blind calibration technique for low-computation, low-complexity, and high-resolution ap...
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blind mismatch correction of time-interleaved analog-to-digital converters (TI-ADC) is a challenging task. We present a practical blind calibration technique for low-computation, low-complexity, and high-resolution applications. Its key features are: dramatically reduced computation;simple hardware;guaranteed parameter convergence with an arbitrary number of TI-ADC channels and most real-life input signals, with no bandwidth limitation;multiple Nyquist zone operation;and mixed-domain error correction. The proposed technique is experimentally verified by an M = 4 400 MSPS TI-ADC system. In a single-tone test, the proposed practical blind calibration technique suppressed mismatch spurs by 70 dB to 90 dB below the signal tone across the first two Nyquist zones (10 MHz to 390 MHz). A wideband signal test also confirms the proposed technique.
A blind algorithm is proposed in order to compensate for the phase noise resulting from imperfect oscillators in orthogonal frequency-division multiplexing (OFDM) systems over constant modulus modulation. In the propo...
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A blind algorithm is proposed in order to compensate for the phase noise resulting from imperfect oscillators in orthogonal frequency-division multiplexing (OFDM) systems over constant modulus modulation. In the proposed algorithm, one received OFDM symbol is partitioned into subblocks in the time domain and the phase noise over each subblock is approximated as its time-average. Under the approximation, the squared magnitude of the channel gain multiplied by the data symbol at each subcarrier is shown to be expressed in terms of these time-averages and the discrete Fourier transform (DFT) coefficients of the received samples at each subblock with zero padding. Based on the relation, the proposed algorithm compensates for the phase noise without pilot symbols. Numerical results show that the proposed algorithm outperforms conventional algorithms as well as it requires lower computational complexity.
In this paper, we design a new blind joint carrier frequency offset (CFO) and channel estimationmethod for orthogonal frequency-division multiplexing (OFDM) with multiantenna receiver. The proposed algorithm requires ...
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In this paper, we design a new blind joint carrier frequency offset (CFO) and channel estimationmethod for orthogonal frequency-division multiplexing (OFDM) with multiantenna receiver. The proposed algorithm requires only one received OFDM block and thus belongs to the category of one-shot estimation methods. Other advantages of the proposed algorithm include 1) it supports fully loaded data carriers and is thus spectral efficient;2) the channel from the transmitter to each receive antenna can be blindly estimated with only a scaling ambiguity;and 3) the algorithms outperforms the existing methods. Moreover, we derive the Cram r-Rao Bounds (CRB) of joint CFO and channel estimation in closed forms. Numeral results not only show the effectiveness of the proposed algorithm but also demonstrate its closed performance to CRB.
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