Research Initiation Award: On Apative Distributed Detection and Data Fusion

本项目将研究在非平稳噪声环境下雷达接收机的信号处理问题。它将研究旨在实现恒定虚警率（CFAR）的自适应技术。特别是，它将专注于强大的CFAR探测器，利用一个雷达内的分布式结构和Barkat和Varshney在“分散的CFAR探测”中描述的概念，即将在IEEE航空航天与电子系统交易中发表。目标是实现对接收脉冲之间的相关性不敏感的检测性能。通过扩展空间分集方案来监测空间中的相同体积，将使接收机性能更加稳健；即，上述接收器将扩展到多个传感器的情况。

This project will investigate problems of signal processing from radar receivers in a nonstationary noise environment. It will investigate adaptive techniques which aim at achieving a constant false alarm rate (CFAR). In particular, it will focus on robust CFAR detectors, utilizing distributed structures within one radar and concept described in "Decentralized CFAR detection," by Barkat and Varshney, forthcoming in IEEE Transactions on Aerospace and Electronic Systems. The goal is to achieve a detection performance which is insensitive to correlation among the received pulses. Receiver performance will be made even more robust by extending the space diversity scheme to monitor the same volume in space; i.e., the receiver above will be extended to the case of multiple sensors.