A Novel Reduced Complexity Forward-Backward Equalization Algorithm

机译：一种新的降低复杂度的前向后均衡算法

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The complexity of channel equalization using the BCJR algorithm grows exponentially with the channel memory and signal cardinality. In this paper we present a novel reduced complexity equalization algorithm where independent forward and backward trellises are formed based on decision feedback sequence estimation (DFSE) idea. Performance of the new equalizer algorithm is evaluated for turbo equalization of the EDGE (Enhanced Data rate for GSM Evolution) system. We also consider the effect of delayed APP calculation on BER performance and show that BER performance can be improved by choosing a proper delay value depending on the channel impulse response.

机译：使用BCJR算法进行信道均衡的复杂度随信道存储器和信号基数成倍增长。在本文中，我们提出了一种新颖的降低复杂度的均衡算法，该算法基于决策反馈序列估计（DFSE）思想形成独立的前向和后向网格。评估了新均衡器算法的性能，以实现EDGE（GSM演进的增强数据速率）系统的Turbo均衡。我们还考虑了延迟APP计算对BER性能的影响，并表明可以根据信道脉冲响应选择合适的延迟值来提高BER性能。

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《Annual Allerton Conference on Communication, Control, and Computing; 20040929-1001; Monticello,IL(US)》|2004年|P.1197-1206|共10页
会议地点 MonticelloIL(US)
作者
Nitin Nangare; Fredy Neeser; Krishna R. Narayanan;
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Dept. of Electrical Engineering Texas AM University College Station, TX 77840-3128;

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正文语种 eng
中图分类通信;
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A Novel Reduced Complexity Forward-Backward Equalization Algorithm

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