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检索条件"主题词=Constant modulus algorithm"

共 249 条记录，以下是161-170 订阅

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Convex combination of blind adaptive equalizers with different tracking capabilities

Convex combination of blind adaptive equalizers with differe...

引用

32nd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Silva, Magno T. M. Nascimento, Vitor H. Univ Sao Paulo Escola Politecn Dept Elect Engn Syst Av Prof Luciano GualbertoTrav 3158 BR-05508900 Sao Paulo Brazil

ISBN: (纸本)1424407281

We propose a convex combination of two blind equalizers adapted respectively by CMA (constant modulus algorithm) and SWA (Shalvi-Weinstien algorithm). The performance of the proposed scheme is, in the worst case, as good as that of the best of its components. This behavior provides a good tracking capability, since both CMA or SWA may have a better tracking performance, depending on the kind of nonstationary environment. A steady-state analysis (using energy conservation) is also presented, considering both the proposed scheme, and the convex combination of two CMAs.

关键词： adaptive filters blind equalization convex combination energy conservation tracking analysis constant modulus algorithm

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Adaptive Minimum Entropy Beamforming algorithms for Narrowband Signals

Adaptive Minimum Entropy Beamforming Algorithms for Narrowba...

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2nd International Multi-Topic Conference

作者： Ali, Anum Abrar, Shafayat COMBATS Inst Informat Technol Dept Elect Engn Islamabad 44000 Pakistan

ISBN: (纸本)9783642289613

Blind beamforming has been studied extensively in recent times. Array signal processing is an effective technique for signal extraction in communication systems. We employ minimum entropy deconvolution(MED) principle for source extraction. Results are shown which indicate good performance in comparison with conventional adaptive algorithms like the constant modulus algorithm and the multi-modulus algorithm.

关键词： Minimum entropy deconvolution constant modulus algorithm multi modulus algorithm narrowband adaptive beamforming

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A robust linearly constrained CMA for adaptive blind multiuser detection

A robust linearly constrained CMA for adaptive blind multius...

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IEEE Wireless Communications and Networking Conference

作者： Elnashar, A Elnoubi, S Elmikati, H Egyptian Co Mobile Serv MobiNil WTC Cairo Egypt

ISBN: (纸本)0780389662

A robust blind multiuser receiver based on a linearly constrained constant modulus algorithm (LCCMA) with multiple constraints and Quadratic Inequality (QI) constraint on the weight vector norm is developed in this paper. Quadratic constraints have been a prevalent approach to improve the robustness against mismatch and modeling errors, uncertainties in estimating the data autocovariance matrix, and random perturbations in detector parameters. In this paper, the LCCMA is realized using a fast steepest descent adaptive algorithm based on the partition linear interference canceller (PLIC) structure with multiple constraints and a QI constraint on the weight vector norm. The Lagrange multiplier methodology is exploited to solve the QI constraint problem. Simulations are carried out in a loaded multipath environment with near-far effect to validate the robustness of the proposed detector.

关键词： DS/CDMA multiuser detection constrained optimization quadratic inequality constraint constant modulus algorithm Lagrange method

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Design of Improved Adaptive Equalizers using Intelligent Computational Techniques: Extension to WiMAX System

Design of Improved Adaptive Equalizers using Intelligent Com...

引用

IEEE-Uttar-Pradesh-Section International Conference on Electrical, Computer, and Electronics Engineering (UPCON)

作者： Dey, Ananya Banerjee, Subhabrata Chattopadhyay, Sudipta Jadavpur Univ Dept Elect & Telecommun Engn Kolkata India Future Inst Engn & Management Dept Elect & Commun Engn Kolkata India

ISBN: (纸本)9781509053841

During transmission of signal through a channel the signal becomes distorted noise and the transmitted signal also suffers from Inter Symbol Interference (ISI). Adaptive Equalizers (AEs) are used to reduce the ISI and the noise by updating the filter coefficients without having the prior information about the noise. So the necessity of designing more efficient adaptive filters has been emerged as one of the interesting research areas over last decades. In recent past some optimization techniques have been developed which provide better results than conventional Adaptive Equalizers (AEs). In this context, an attempt has been made to explore some efficient AEs based on the intelligent computational techniques. Three optimization techniques namely Harmony Search (HS), Cuckoo Search (CS) and Flower Pollination algorithm (FPA) have been used in this paper. Moreover, the comparative analysis of the convergence behavior and BER performances of the proposed AEs have been investigated and also compared with Least Mean Square (LMS) algorithms and constant modulus algorithms (CMA) based AEs. Furthermore, performance analysis of the proposed AEs under different fading channel conditions like Rayleigh, Rician and Nakagami Fading have also been studied. Finally, the performances of the proposed equalizers have been evaluated in WiMAX system.

关键词： Adaptive Equalizer BER constant modulus algorithm Harmony Searh Cuckoo Search Least-Mean-Square algorithm

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Behavior of minimum output energy algorithm for digital VSB signals

Behavior of minimum output energy algorithm for digital VSB ...

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54th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Ha, Youngsun Chung, Wonzoo Korea Univ Div Comp & Commun Engn Seoul South Korea

In this paper we show that the widely used blind adaptive minimum output energy algorithm fails to converge to the desired solutions when complex valued IIR equalization structure is used for digital VSB signals. We p... 详细信息

ISBN: (纸本)9781612848570

关键词： Minimum output energy algorithm Adaptive blind equalizer vestigial sideband VSB infinite impulse response filter constant modulus algorithm

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CMA Based Blind Equalization for GFDM Systems 6

CMA Based Blind Equalization for GFDM Systems

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6th International Conference on Wireless and Telematics (ICWT)

作者： Hamid, Effrina Yanti Averly, Muhammad Reza Rahardi, Rama Mahardika, Dewa Inst Teknol Bandung Sch Elect Engn & Informat Bandung Indonesia

ISBN: (数字)9781728175966

ISBN: (纸本)9781728175966

Blind channel equalization for GFDM systems based on a constant modulus algorithm (CMA) is proposed in this paper. The system implements CMA together with a discrete Fourier transform (DFT) that enables the realization of blind equalizer which is comparable to pilot based system. Two performance parameters are used to evaluate the equalizer, first is the symbol error rate (SER) and second is the mean squared error (MSE). The obtained results from simulation show that the performance of the proposed system is better than that of pilot-based system. The result also indicates that its performace closely matches to the ideal estimation and equalization of the channel.

关键词： blind channel equalization constant modulus algorithm GFDM system

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Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels 5

Kuiper Test based Modulation Level Classification under Unkn...

引用

5th IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Chaudhari, Shailesh Cabric, Danijela Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA

ISBN: (纸本)9781509059904

In this paper, we address the problem of identifying the modulation level of the received signal under an unknown frequency selective channel. The modulation level classification is performed using reduced-complexity Kuiper (rcK) test which utilizes the distribution of signal features such as magnitude of the received samples or phase difference in consecutive received samples. However, in frequency selective channels, these features are severely distorted resulting in a poor classification performance. We propose to use constant modulus algorithm (CMA) to mitigate the impact of the frequency selective channel on the signal feature. Simulation and analytical results show that the proposed CMA-rcK technique outperforms state-of-the-art cumulant-based technique as well as blind equalizer-based technique that uses Alphabet Matched algorithm.

关键词： Alphabet matched algorithm constant modulus algorithm reduced-complexity Kuiper cumulants

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Concurrent Blind Equalization Suitable for 16-QAM Signal

Concurrent Blind Equalization Suitable for 16-QAM Signal

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International Conference on Wireless Communications and Signal Processing

作者： Rao, Wei Tan, Wen-qun Li, Da-she Dai, Guo-xing Xia, Fei Fan, Li Liu, Jian-bing Xu, Hui-jun Nanchang Inst Technol Dept Elect & Elect Engn Nanchang Peoples R China

ISBN: (纸本)9781424448562

A new concurrent scheme for blind equalization suitable for 16-QAM signal is proposed. It combines Modified modulus algorithm (MCMA) and Modified Decision Directed (MDD) algorithm. By exploiting the inherent structural relationship between the 4-QAM signal's coordinates and 16-QAM signals' coordinates, another style of cost function for constant modulus algorithm (CMA) is defined, and we have proved that MCMA with such cost function outperforms the conventional CMA considerably. Unfortunately, MCMA has the same inherent defect as CMA which is that it is not sensitivity for phase offset of received signals. So when it occurs, the performance of MCMA will be impaired and even MCMA cannot work. Accordingly for overcoming the shortcomings of MCMA we introduce the Decision Directed (DD) algorithm, and modify it with the same method as MCMA. Consequently the new concurrent blind equalization with MCMA and MUD is proposed. Simulation results with underwater acoustic channel model show that the proposed algorithm achieves satisfactory performance.

关键词： concurrent blind equalization constant modulus algorithm decision directed algorithm

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Application of the Square Contour algorithm in Blind Equalizers Based on Complex Neural Networks

Application of the Square Contour Algorithm in Blind Equaliz...

引用

3rd International Conference on Consumer Electronics, Communications and Networks (CECNet)

作者： Zhao, Juan Jingchu Univ Technol Sch Elect & Informat Engn Jingmen Peoples R China

ISBN: (纸本)9781479928606

The error function is important for the blind equalizer based on neural networks to adaptively adjust its parameters. Aiming at finding a new error function, the paper studied the square contour algorithm (SCA) and the complex backward propagation neural networks (CBPNN). The properties of the equalizers based on the cost function of SCA were simulated, and comparison was made with that of CMA. Results show that the equalizer with cost function of SCA converges slower and the byte-error rate (BER) is greater than that of CMA. The residual errors are the same because the cost function only varies in appearance. Therefore, in designing the equalizer based on CBPNN, it is not advisable to replace the error function of CMA with that of SCA.

关键词： square contour algorithm complex neural network blind equalization algorithm constant modulus algorithm

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A low-complexity blind Rake combining equalizer for UWB communication systems

A low-complexity blind Rake combining equalizer for UWB comm...

引用

IEEE International Conference on Ultra-Wideband

作者： Zheng, Y. J. Ng, J. H. Yang, L. Inst Microelect Singapore Sci Pk Singapore 117685 Singapore Natl Univ Singapore Fac Engn Dept Eect & Comp Engn Singapore 117548 Singapore

ISBN: (纸本)9781424401017

In this paper, we investigate the impetus for a Rake receiver together with an equalizer for UWB communication systems and then develop a novel Rake combining equalizer which employs a blind adaptive algorithm to improve the system performance by mitigating multi-path distortion and suppressing inter-symbol interference (ISI). Simulations have verified the usefulness of this structure in UWB communication systems.

关键词： Rake receiver blind method constant modulus algorithm ultra-wideband (UWB) communications

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