Cramer-Rao lower bounds of target positioning estimate in netted radar system

Abstract

Netted radar system has received wide attention due to its higher target detection probability, better target localization and tracking performance than the monostatic/bistatic radar systems. According to the complexity and difficulty of practical application, netted radar system can be divided into simply netted radar system with decentralized processing, traditional netted radar system with centralized data and information fusion processing. Without taking account of the SLP among multiple nodes, the traditional netted radar system has the definite radar coverage and target localization performance after deployment, which means it is not flexible enough to configure on demand in the search phase and localization phase. To further improve performance and flexibility, a novel netted radar system, across which signal, data and information can be shared and integrated to, is considered. In the novel netted radar system, the topology architecture, transmit receiving node, transmitted signal form and other resources are selected and reconstructed according to the task to be needed. To analyze the localization performance of the novel netted radar system, the Cramer–Rao lower bounds (CRLBs) of the target positioning estimate mean square errors (MSEs) are deduced for the coherent-processing (CP), noncoherent-processing (NCP) and data-level processing (DLP) in this paper. Then, the target localization performances of the novel netted radar system with different topology architectures are compared and analyzed.