Spatial-temporal fractionally spaced decision-feedback equalisation for fading channels with dispersive interference

Lin, Sheng-Chou; Wu, Chi-Wei

doi:10.1049/iet-com.2010.0632

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…Suppose that we sample the analog signal with a data rate of times the Nyquist sampling rate, with signal samples spaced / apart. The output of the th subchannel becomes [15] ( ) = c ⊗ ( ) + ( ) ,…”

Section: The Model Of the Conventional Fs-cma [6]mentioning

confidence: 99%

Fractionally Spaced Constant Modulus Equalizer with Recognition Capability for Digital Array Radar

Wang

Wei

Jiang

2017

Mathematical Problems in Engineering

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Fractionally spaced blind equalizer (BE) based on constant modulus criteria is exploited to compensate for the channel-to-channel mismatch in a digital array radar. We apply the technique of recognition to improve the stability and reliability of the BE. The surveillance of the calibration signal and the convergence property of BE are both implemented with recognition description words. BE with cognitive capability is appropriate for the equalization of a digital array radar with thousands of channels and hundreds of working frequencies, where reliability becomes the most concerned indicator. The improvement of performance in the accidental scenarios is tested via numerical simulations with the cost of increased computational complexity.

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Section: The Model Of the Conventional Fs-cma [6]mentioning

confidence: 99%

Fractionally Spaced Constant Modulus Equalizer with Recognition Capability for Digital Array Radar

Wang

Wei

Jiang

2017

Mathematical Problems in Engineering

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“…CMA exploits both Symbol spaced equalization (SSE) and Fractionally spaced equalization (FSE) in communication scenarios. FSE generally performs better than SSE due to its improved time phase selectivity (more samples per symbol) and global convergence under some mild conditions [20,21] . For FSEs, transfer function of each timedivision subchannel is a decimated part of an oversampling original channel.…”

Section: Introductionmentioning

confidence: 99%

Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar

et al. 2017

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A variable tap-length multi-branch linear equalization algorithm

Liu

2015

2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

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Spatial-temporal fractionally spaced decision-feedback equalisation for fading channels with dispersive interference

Cited by 5 publications

References 30 publications

Fractionally Spaced Constant Modulus Equalizer with Recognition Capability for Digital Array Radar

Fractionally Spaced Constant Modulus Equalizer with Recognition Capability for Digital Array Radar

Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar

A variable tap-length multi-branch linear equalization algorithm

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