Sparsity Enhanced Decision Feedback Equalization

作者：Ilic Jovana^*; Strohmer Thomas

来源：IEEE Transactions on Signal Processing, 2012, 60(5): 2422-2432.

DOI：10.1109/TSP.2012.2189387

• Convex optimization
• decision feedback equalization
• SC-FDMA
• sparsity
• successive interference cancellation
• thresholding

For single-carrier systems with frequency domain equalization, decision feedback equalization (DFE) performs better than linear equalization and has much lower computational complexity than sequence maximum likelihood detection. The main challenge in DFE is the feedback symbol selection rule. In this paper, we give a theoretical insight on multiple symbol selection, based on sparsity and we present a simple algorithm for DFE. The algorithm converges fast and has a low computational cost. We show how the initial solution can be obtained via convex relaxation instead of linear equalization, and illustrate the impact that the choice of the initial solution has on the bit error rate performance of our algorithm. The algorithm is applicable in several existing wireless communication systems (SC-FDMA, MC-CDMA, MIMO-OFDM). Numerical results illustrate significant performance improvement in terms of bit error rate compared to the MMSE solution.

• 出版日期2012-5