標題: An LMS-based decision feedback equalizer for IS-136 receivers
作者: Wu, WR
Tsuie, YM
電信工程研究所
Institute of Communications Engineering
關鍵字: decision feedback equalizer (DFE);equalizer;least mean square (LMS);IS-136
公開日期: 1-Jan-2002
摘要: In digital mobile communication systems, inter-symbol interference is one of the main causes of degrading system performance. Decision feedback equalization (DFE) is the commonly used remedy for this problem. Since the channel is fast-varying, an adaptive algorithm possessing a fast convergence property is then required. The least mean square (LMS) algorithm is well known for its simplicity and robustness; however, its convergence is slow. As a consequence, the LMS algorithm is rarely considered in this application. In this paper, we consider an LMS-based DFE for the North American IS-136 system. We propose an extended multiple-training LMS algorithm accelerating the convergence process. The convergence properties of the multiple-training LMS algorithm are also analyzed. We prove that the multiple-training LMS algorithm can converge regardless of its initial value and derive closed-form expressions for the weight error vector power. We further take advantage of the IS-136 downlink slot format and divide a slot into two subslots. Bidirectional processing is then applied to each individual subslot. The proposed LMS-based DFE has a low computational complexity and is suitable for real-world implementation. Simulations with a 900- MHz carrier show that our algorithm can meet the 3% bit error rate requirement for mobile speeds up to 100 km/hr.
URI: http://dx.doi.org/10.1109/25.992074
http://hdl.handle.net/11536/29152
ISSN: 0018-9545
DOI: 10.1109/25.992074
期刊: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume: 51
Issue: 1
起始頁: 130
結束頁: 143
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