天基雷达稀疏随机阵列处理

J. Schindler, H. Steyskal
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引用次数: 6

摘要

我们研究了移动目标检测与天基雷达卫星集群,建模为随机稀疏阵列。结果表明,信号对干扰的改善是脉冲重复频率的敏感函数,并且在很大的动态范围内变化。可实现的改进系数最大值受阵列间距(卫星簇旋转)的适度降低,并随着位置误差的增加而强烈降低。一般来说,随着随机性的增加,有助于形成DPCA对的元素越来越少,从而降低了卫星的使用效率和信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sparse, random array processing for space-based radar
We investigate moving target detection with a space-based cluster of radar satellites, modeled as a random sparse array. Results show that improvement in signal to interference is a sensitive function of the pulse repetition frequency and varies over a large dynamic range. Achievable improvement factor maxima are moderately degraded by array pitch (satellite cluster rotation) and strongly degraded with increasing position errors. In general, with increased randomness, fewer elements contribute to form DPCA pairs so that satellite usage efficiency and SNR are degraded.
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