约束复杂性时空干扰抑制组合

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304) Pub Date : 1999-05-09 DOI:10.1109/SPAWC.1999.783031

D. Astely, B. Ottersten

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引用次数: 2

摘要

时空处理对天线阵列的共信道干扰(CCI)抑制和均衡可以提供比空间处理更大的增益，特别是在干扰有限的情况下。然而，与忽略这种相关性的仅空间处理相比，考虑噪声和CCI过程的时间相关性会导致序列检测具有更高的复杂性。我们提出使用广义Viterbi算法进行较低复杂度的序列检测。特殊情况包括m算法和延迟决策反馈序列估计。因此，可以对具有相同复杂性的序列检测器的空间和时空处理进行相关比较。数值例子表明，在这种情况下，当序列检测器的最优性被用于抑制干扰时，与仅空间处理相比，时空处理获得了可观的收益。

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Constrained complexity spatio-temporal interference rejection combining

Space-time processing for co-channel interference (CCI) rejection and equalization with antenna arrays may provide large gains over space-only processing, especially in interference limited scenarios. However, taking the temporal correlation of the noise and CCI process into account leads to sequence detection with higher complexity as compared to space-only processing that neglects this correlation. We propose the use of the generalized Viterbi algorithm for sequence detection with lower complexity. Special cases include the M-algorithm and the delayed decision feedback sequence estimator. A relevant comparison between spatial and spatio-temporal processing with sequence detectors of the same complexity may thus be performed. Numerical examples show substantial gains for spatio-temporal processing as compared to space-only processing also in this case when the optimality of the sequence detector is traded for interference rejection.

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来源期刊

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)

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