Adaptive Pulse Compression: Preliminary Experimental Measurements

A. Shackelford, J. D. Graaf, S. Talapatra, S. Blunt, Karl Gerlach
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引用次数: 7

Abstract

Preliminary experimental results from the adaptive pulse compression (APC) test bed are presented. A recently proposed adaptive processing technique has been shown via simulation to improve upon current pulse compression techniques through a process known as reiterative minimum mean-square error estimation (RMMSE). The RMMSE technique forms the basis of the APC and the Multistatic APC (MAPC) algorithms. In this paper, we present experimental results demonstrating the feasibility of these approaches. Several polyphase waveforms have been implemented in an experimental test bed. Initial results show that small non-linearities in the waveform generation process have only a marginal impact on the estimation performance of the algorithms. A discussion of the APC test bed followed by experimental results demonstrating the performances of the APC and MAPC algorithms are presented. These initial experimental results indicate that the APC approach is able to successfully mitigate pulse-compression sidelobes on measured data, and that the MAPC algorithm can successfully mitigate both the mutual-interference from shared-spectrum radar signals and pulse compression sidelobes on measured data.
自适应脉冲压缩:初步实验测量
给出了自适应脉冲压缩(APC)试验台的初步实验结果。最近提出的一种自适应处理技术已经通过仿真显示,通过迭代最小均方误差估计(RMMSE)的过程来改进当前的脉冲压缩技术。RMMSE技术构成了APC和多静态APC (MAPC)算法的基础。在本文中,我们给出了实验结果,证明了这些方法的可行性。在实验测试台上实现了几种多相波形。初步结果表明,波形生成过程中的小非线性对算法的估计性能影响很小。讨论了APC测试平台,并给出了APC和MAPC算法性能的实验结果。这些初步实验结果表明,APC方法能够成功地缓解测量数据上的脉冲压缩副瓣,MAPC算法能够成功地缓解共享频谱雷达信号的相互干扰和测量数据上的脉冲压缩副瓣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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