Target localization in a multi-static passive radar system through convex optimization

Target localization in a multi-static passive radar system through convex optimization

We propose efficient target localization methods for a passive radar system using time-of-arrival (TOA) information of the signals received from multiple illuminators, where the position of the receiver is subject to random errors. Since the maximum likelihood (ML) formulation of this target localization problem is a non-convex optimization problem, semi-definite relaxation (SDR)-based optimiza...

Efficiency of Target Location Scenarios in the Multi-Transmitter Multi-Receiver Passive Radar

Multi-transmitter multi-receiver passive radar, which locates target in the surveillance area by the reflected signals of the available opportunistic transmitter from the target, is of interest in many applications. In this paper, we investigate different signal processing scenarios in multi-transmitter multi-receiver passive radar. These scenarios include decentralized processing of reference ...

Multi-target Tracking via Nonlinear Least Squares Using Doppler Measurements from a Passive Radar System

A Soft-Input Soft-Output Target Detection Algorithm for Passive Radar

Abstract: This paper proposes a novel scheme for multi-static passive radar processing, based on soft-input soft-output processing and Bayesian sparse estimation. In this scheme, each receiver estimates the probability of target presence based on its received signal and the prior information received from a central processor. The resulting posterior target probabilities are transmitted to the c...

Robust MIMO radar target localization via nonconvex optimization

This paper addresses the problem of robust target localization in distributed multipleinput multiple-output (MIMO) radar using possibly outlier range measurements. To achieve robustness against outliers, we construct an objective function for MIMO target localization via the maximum correntropy criterion. To deal with such a nonconvex and nonlinear function, we apply a half-quadratic optimizati...