Distributed Radar Network Implementation Using Software Defined Radio

D. Wong, B. K. Chalise, A. Martone, B. Kirk
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Abstract

Target detection capability of a radar system can be significantly enhanced by deploying a distributed network. Despite their potential, distributed radar networks have not received enough attention in the literature. This is attributed, in part, to the need for highly reliable communications links, that can support information sharing between nodes with a low latency, and achieving different levels of synchronization. In this paper, we consider a distributed network with a central coordinator (CC), where nodes, operating under radar phase in different frequency bands, calculate generalized likelihood ratio test (GLRT) function values from their received signals. During communications phase, nodes quantize their GLRT values, encode resulting quantized values to bits, and transmit these bits to the CC using amplitude shift keying (ASK) modulation. The CC demodulates noisy received signals from nodes, decodes resulting information, and estimates GLRT function values transmitted by all nodes. The CC fuses the estimated GLRT values and makes a global decision on target detection. We implement this distributed detection method with a software defined radio (SDR) technique that uses Universal Software Radio Peripheral (USRP) kits from National Instruments (NI) and LabView. Under the setup in which the CC and radar nodes are synchronized with a common reference clock, we demonstrate the key steps for implementing the proposed distributed detection with the SDR approach.
利用软件无线电实现分布式雷达网络
部署分布式网络可以显著增强雷达系统的目标探测能力。尽管分布式雷达网络具有潜力,但在文献中还没有得到足够的重视。这在一定程度上是由于需要高度可靠的通信链路,以低延迟支持节点之间的信息共享,并实现不同级别的同步。本文考虑一个具有中心协调器(CC)的分布式网络,其中在不同频段雷达相位下工作的节点根据其接收的信号计算广义似然比检验(GLRT)函数值。在通信阶段,节点量化其GLRT值,将结果量化值编码为比特,并使用幅度移键控(ASK)调制将这些比特传输到CC。CC对来自节点的噪声接收信号进行解调,对产生的信息进行解码,并估计所有节点传输的GLRT函数值。CC融合估计的GLRT值,对目标检测做出全局决策。我们用软件定义无线电(SDR)技术实现了这种分布式检测方法,该技术使用了来自美国国家仪器公司(NI)和LabView的通用软件无线电外设(USRP)套件。在CC和雷达节点与公共参考时钟同步的设置下,我们演示了用SDR方法实现所提出的分布式检测的关键步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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