机载MIMO雷达的子空间压缩GLRT探测器

K. Ahmed, Sreedevi Kothuri, M. Patwary, Mohamed Abdel-Maguid
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引用次数: 7

摘要

本文研究了一种适用于MIMO机载雷达系统的子空间压缩GLRT (SSC-GLRT)探测器的设计。可以观察到,在单个目标存在的情况下,SSC-GLRT在亚奈奎斯特速率下的测量数据量非常少,相当于虚拟双基地雷达的数量,但在数据长度大得多的情况下,SSC-GLRT提供了与传统GLRT相同的性能,即接收天线阵列中元素数量与相干脉冲间隔(CPI)的乘积高出一个数量级。因此,SSC-GLRT在计算复杂性成为负担的情况下非常节能和有用。此外,本文还说明了一种将角域和多普勒域映射到一维离散向量的优雅方法,用于在未知情况下基于压缩采样(CS)的信号子空间重构,使其可以连续用于SSC-GLRT。仿真实例进一步验证了SSC-GLRT探测器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subspace compressive GLRT detector for airborne MIMO Radar
In this paper, the design of a subspace compressive GLRT (SSC-GLRT) detector has been pursued for MIMO airborne radar system when the secondary sets of data are available in addition to the primary one. It is observed that with very reduced amount of measurement data at sub-Nyquist rate that is equal to the number of virtual bi-static radar in the presence of a single target, SSC-GLRT provides the same performance as the conventional GLRT with much larger length of the data, i.e., an order of magnitude higher given by the product of the number of elements in the received antenna array and coherent pulse interval (CPI). Therefore, SSC-GLRT is much energy efficient and useful in the scenario where the computational complexity becomes a burden. Also, this paper illustrates an elegant way of mapping the angular and Doppler domain to an one dimensional discrete vector for the formulation of compressive sampling (CS) based ℓ1 reconstruction of the signal subspace when it is unknown so that it can successively be used in SSC-GLRT. The simulation example further corroborates the effectiveness of the proposed SSC-GLRT detector.
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