一种改进的稀疏多径信道均衡方法

doi:10.3969/j.issn.1001-2400.2014.01.028

J4 ›› 2014, Vol. 41 ›› Issue (1): 158-163.doi: 10.3969/j.issn.1001-2400.2014.01.028

• Original Articles • Previous Articles Next Articles

Improved sparse multipath channel equation method

YANG Yuan¹;LI Mingyang²;WANG Xuhua²

(1. Air Traffic Control and Navigation College, Air Force Engineering Univ., Xi'an 710051， China;
2. Synthetic Electronic Information System and Electronic Countermeasure Technology Research Department, Air Force Engineering Univ., Xi'an 710051， China)

Received:2012-11-08 Online:2014-02-20 Published:2014-04-02
Contact: YANG Yuan E-mail:yangyuankgd@126.com

Abstract

Abstract:

Traditional channel equation methods are based on the multi-path richness hypothesis, which is complicated and inefficient in sparse channels. In this paper, a sparse multi-path channel equation method is proposed. The sparse channel estimation is carried out using a small number of pilot tones based on Compressed Sensing (CS). The equation inverse filter is derived from the channel estimation. The procession of inverse filter solution is modeled as an optimization problem and a greedy algorithm is proposed which can bring about a near optimal solution. The new algorithm requires fewer iterations than linear prediction and gets almost optimal filter parameters when the rank is high enough. The modularized structure of the greedy algorithm is designed which is less complicated and can be easily realized. Simulation shows that the BER performance of the proposed equation method is improved significantly with the increase of SNRs. At 15dB of the SNR it gains 10dB in power efficiency relative to LMS.

Key words: sparse channel, compressed sensing(CS), inverse filtering, greedy algorithm

YANG Yuan;LI Mingyang;WANG Xuhua. Improved sparse multipath channel equation method[J].J4, 2014, 41(1): 158-163.

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Improved sparse multipath channel equation method

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