Optimum and joint-suboptimum maximum-likelihood detection for FH/BFSK in multitone jamming

Yi-Chen Chen
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引用次数: 4

Abstract

Without knowledge of jamming state indication and the resultant signal-plus-jammer tone as required in [1], we derive the optimum maximum-likelihood (ML) non-coherent detector for FH/BFSK systems in multitone jamming and additive white Gaussian noise. Due to the huge complexity of the optimum ML detector, we further propose a novel complexity-reduced scheme which is called joint-suboptimum maximum-likelihood (JSML) detector. Simulation results show the superiority of the proposed detectors over other existing diversity combining approaches. The analytical performance of the JSML detector with single diversity is also provided and verified by simulation results. In moderate and high SNR conditions, the JSML detector performs slightly worse than the optimum ML detector while it achieves much complexity reduction.
多音干扰下跳频/BFSK的最优和联合次优最大似然检测
在不了解干扰状态指示和[1]中所要求的由此产生的信号加干扰者音调的情况下,我们推导了多音干扰和加性高斯白噪声下跳频/BFSK系统的最佳最大似然(ML)非相干检测器。由于最优机器学习检测器的巨大复杂性,我们进一步提出了一种新的复杂性降低方案,称为联合次优最大似然检测器(JSML)。仿真结果表明,该方法优于现有的分集组合方法。给出了单分集JSML探测器的分析性能,并通过仿真结果进行了验证。在中等和高信噪比条件下,JSML检测器的性能略差于最佳ML检测器,但它大大降低了复杂性。
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