Research Initiation Award: On Apative Distributed Detection and Data Fusion

本项目将研究雷达信号处理问题 非平稳噪声环境中的接收器。 它将调查 自适应技术，旨在实现恒定的虚警率 （CFAR）。 特别是，它将集中在强大的恒虚警检测器， 在一个雷达和概念内利用分布式结构 在Barkat和Varshney的“Decentralized CFAR detection”中描述， 《IEEE Transactions on Aerospace and Electronic Systems》 目标是实现对以下不敏感的检测性能： 接收脉冲之间的相关性。 接收机性能将是 通过将空间分集方案扩展到 监视空间中的相同体积;即，上面的接收器将 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.