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Generalized Likelihood Ratio Test Performance for Cooperative Radar-Communications

机译：合作雷达通信的广义似然比测试性能

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The performance of generalized likelihood ratio tests (GLRT) in radar detection is a well-studied subject, as is the performance of a maximum-likelihood decoder for a communication (comm.) receiver. The theoretical analysis of a cooperative radar-comm. receiver, however, remains an open problem. A radar cooperating with a spectrally coexistent communications system must decode/demodulate the coexistent comm. signal in order to conduct usual radar functions (target detection, classification, localization and tracking). This preliminary comm. signal cancellation is inherent in the GLRT where the decoding is accomplished via two nonlinear searches over the codebook; thus, rendering theoretical performance analyses highly nontrivial. It has been shown nonetheless that when the comm. signal is very strong, or very weak that radar performance is well-approximated with known results. If only moderate-to-weak, however, the comm. signal can be difficult to decode with residuals and channel estimation errors that interfere with radar operations. This paper will explore use of the saddlepoint method to predict receiver operating characteristics of the cooperative radar under such non-ideal conditions.
机译：雷达检测中的广义似然比测试（GLRT）的性能是一个良好研究的主题，也是用于通信（Comm。）接收器的最大似然解码器的性能。合作雷达-Com的理论分析。然而，接收器仍然是一个公开问题。与光谱共存通信系统协作的雷达必须解码/解调共存通讯。信号为了进行通常的雷达功能（目标检测，分类，定位和跟踪）。这个初步的通讯。信号取消是在GLRT中固有的，其中通过两个非线性搜索通过码本的两个非线性搜索完成;因此，渲染理论性能分析高度不变。尽管如此，它已被展示。信号非常强，或者非常弱，雷达性能与已知结果有很大近似。但是，如果只有中等变化，即可。信号可能难以与干扰雷达操作的残差和信道估计错误进行解码。本文将探讨马鞍点法在这种非理想条件下预测协作雷达的接收器操作特性。

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