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 |
Appears in Collections: | Articles |
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