SAGE-based estimation of doubly selective channel with an orthogonal polynomial model

Yang, Feng; Song, Jian; Pan, Ching‐Tsai; Yang, Zhixing

doi:10.1016/j.sigpro.2007.10.012

Cited by 8 publications

(2 citation statements)

References 10 publications

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“…Main advantage of the SAGE algorithm compared to the EM algorithm is its faster convergence resulting in a correspondingly lower complexity. The SAGE algorithm has been applied for joint channel parameter estimation and some of these efforts are reported in [19,[23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Cross-ambiguity function domain multipath channel parameter estimation

Güldoǧan

Arıkan

2012

Digital Signal Processing

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A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of a known waveform impinging on an array of antennas from several distinct paths. The proposed technique detects the presence of multipath components by integrating cross-ambiguity functions (CAF) of array outputs, hence, it is called as the cross-ambiguity function direction finding (CAF-DF). The performance of the CAF-DF technique is compared with the space-alternating generalized expectation-maximization (SAGE) and the multiple signal classification (MUSIC) techniques as well as the Cramér-Rao lower bound. The CAF-DF technique is found to be superior in terms of root-mean-squared-error (rMSE) to the SAGE and MUSIC techniques. © 2011 Elsevier Inc

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Section: Introductionmentioning

confidence: 99%

Cross-ambiguity function domain multipath channel parameter estimation

Güldoǧan

Arıkan

2012

Digital Signal Processing

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“…Main advantage of the SAGE algorithm over the EM algorithm is its faster convergence resulting in an increased efficiency. Applications of SAGE algorithm are extensively reported in the literature [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Multipath channel identification by using global optimization in ambiguity function domain

Güldoǧan

Arıkan

2011

Signal Processing

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a b s t r a c tA new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delay-Doppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delay-Doppler diversity of the multipath components. Clusters of multipath components can be identified by using a simple amplitude thresholding in the delay-Doppler domain. Particle swarm optimization (PSO) can be used to identify parameters of the multipath components in each cluster. The performance of the proposed PSO-CAF technique is compared with the space alternating generalized expectation maximization (SAGE) technique and with a recently proposed PSO based technique at various SNR levels. Simulation results clearly quantify the superior performance of the PSO-CAF technique over the alternative techniques at all practically significant SNR levels.

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Iterative Estimation and Equalization for SCCP Over Doubly Selective Channels

Chen

Qiu

2011

Wireless Pers Commun

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SAGE-based estimation of doubly selective channel with an orthogonal polynomial model

Cited by 8 publications

References 10 publications

Cross-ambiguity function domain multipath channel parameter estimation

Cross-ambiguity function domain multipath channel parameter estimation

Multipath channel identification by using global optimization in ambiguity function domain

Iterative Estimation and Equalization for SCCP Over Doubly Selective Channels

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