Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
454069 | Computers & Electrical Engineering | 2012 | 8 Pages |
This paper deals with robust blind linear minimum mean square error (LMMSE) detection using the particle swarm optimization (PSO) algorithm in the presence of code mismatch. The paper shows that the PSO algorithm incorporating the linear system of the LMMSE detector, which is termed as LPSO, can significantly improve the bit error rate (BER) and the system capacity. As the code mismatch occurs, the output BER performance is vulnerable to degradation for LPSO. To remedy this problem, a blind LMMSE scheme is proposed and combined with PSO to form a robust blind LPSO (BLPSO) detector under code mismatch scenarios. Several computer simulations are provided to demonstrate the effectiveness of the proposed scheme.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► A blind adaptive method for estimating the effective signature waveform is developed in the multipath channel. ► A general noise power and signals’ amplitudes estimation scheme is presented. ► Combining blind LMMSE detector and PSO enhance the robustness against code mismatch.