Kavitha, Veeraruna and Sharma, Vinod (2006) LMS versus Wiener filter for a decision feedback equalizer. In: Forty-Fourth Annual Allerton Conference Allerton House, , Sept 27-29, 2006, UIUC, Illinois, USA.
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In this paper we study an LMS-DFE. We use the ODE framework to show that the LMS-DFE attractors are close to the true DFE Wiener filter (designed considering the decision errors) at high SNR. Therefore, via LMS one can obtain a computationally efficient way to obtain the true DFE Wiener filter under high SNR. We also provide examples to show that the DFE filter so obtained can significantly outperform the usual DFE Wiener filter (designed assuming perfect decisions) at all practical SNRs. In fact, the performance improvement is very significant even at high SNRs (up to 50%), where the popular Wiener filter designed with perfect decisions, is believed to be closer to the optimal one.
|Item Type:||Conference Paper|
|Keywords:||ODE approximation;LMS-DFE;Convergence analysis.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||10 Nov 2011 04:55|
|Last Modified:||10 Nov 2011 04:55|
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