基于改进RID的时频参数联合估计

Hongfeng Qin, Jianguo Huang
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引用次数: 0

摘要

时频参数联合估计在雷达、声纳、通信、地质勘探、生物医学工程等诸多研究领域对声源定位起着非常重要的作用。针对多源信号的时频参数联合估计问题,提出了一种新的、高效的修正降噪干扰分布算法(MRID),该算法在时域加窗,在分割中采用平滑处理。在估计性能损失较小的情况下,该方法可以明显提高处理速度。通过计算机仿真和实验验证了该方法在精度和分辨率上的性能,以及减少了计算量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint estimation of time-frequency parameters using modified RID
Joint estimation of time-frequency parameters plays a very important role for source localization in many research areas, such as radar, sonar, communication, geological exploration, and biomedical engineering. A novel and efficient modified reduced interference distribution (MRID) by windowing in the time domain and smoothing in segmentation is proposed for the joint estimation of time and frequency parameters of multiple source signals. The MRID method can obviously improve the processing speed with less loss in estimation performance. Computer simulations and experiments are conducted to show the performance in precision and resolution as well as the reduction in computation by using the MRID.
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