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出 处:《现代电子技术》2013年第10期4-6,共3页Modern Electronics Technique
基 金:安徽省自然科学基金资助项目(1208085QF109)
摘 要:为了克服传统的自适应谱线增强器(ALE)在低信噪比条件下抑制高斯噪声效果差的不足,提出一种基于时域相干累积技术的自适应谱线增强新算法。该算法是根据时空的等效性,将接收到的长数据进行分段处理,分段数据相干累积处理后再进行自适应谱线增强,提高了低信噪比条件下自适应谱线增强算法的性能。计算机仿真结果表明,该算法具有良好的抑制高斯噪声和自适应谱线增强的性能,对于低信噪比条件下窄带信号自适应谱线增强的性能明显优于传统的ALE算法,宽带时变信号的谱线增强还有待进一步的研究。In order to overcome insufficient of the traditional adaptive line enhancer (ALE) to restrain Gauss noise under the condition of low SNR, a new adaptive spectral line enhancement algorithm based on the time-domain coherent accumulation technology is proposed. Based on the equivalent of space and time, the received long data is segmented by the algorithm, and then the adaptive spectral line of the segmented data is enhanced after coherent cumulative process. It improves the performance of adaptive spectral line enhancement algorithm under the condition of low SNR. Computer simulation results show that the algo- rithm has a good performance of restraining Gauss noise and enhancing adaptive spectral line. The performance of the algorithm in the adaptive spectral line enhancement of narrowband signals under low SNR conditions is much better than that of the tradi- tional ALE algorithm. The spectral line enhancement algorithm for the wideband time-varying signal still needs further research.
分 类 号:TN911-34[电子电信—通信与信息系统]
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