论文标题
基于子空间的检测和分布式MIMO雷达的定位
Subspace-Based Detection and Localization in Distributed MIMO Radars
论文作者
论文摘要
在本文中，我们考虑了一个分布式的多输入多出输出（MIMO）雷达，该雷达具有非理想的跨和自动相关函数辐射波形，并得出了一种基于子空间的新过程，以检测和定位多个前瞻性目标。提出的解决方案通过诉诸广义信息标准（GIC）来解决一系列复合二元假设检验问题。特别是，在消除先前发现的目标引起的干扰后，它旨在检测和定位一个附加目标。提供了一个说明性示例。
In this paper, we consider a distributed multiple-input multiple-output (MIMO) radar which radiates waveforms with non-ideal cross- and auto-correlation functions and derive a novel subspace-based procedure to detect and localize multiple prospective targets. The proposed solution solves a sequence of composite binary hypothesis testing problems by resorting to the generalized information criterion (GIC); in particular, at each step, it aims to detect and localize one additional target, upon removing the interference caused by the previously-detected targets. An illustrative example is provided.
