Studies On Location And Tracking Of Passive Radar

The passive location technology which uses the signal from an opportunitytransmitter is very important, as its concealment and anti-jamming performance. Thelocation and tracking algorithms of passive radar are focused in this dissertation. Themain contributions of this dissertation concentrate in a few aspects as follows:1. Firstly, almost all classical TDOA based location algorithms are introduced, thecharacteristics of those algorithms are analyzed respectively, and their applicationsituations are given.2. Time difference of arrival (TDOA) based location algorithms which used inpassive location system are studied. Based on the characteristics of TDOA locationequations, a regularized constrained total least square (RCTLS) algorithm for TDOAbased location is presented; this algorithm has better performance when the noise ismoderate. There are system errors such as the errors of receivers' position, a robustlocation algorithm is proposed. The observability for TDOA location system based onetransmitter and one receiver is analyzed, and a location algorithm for constant velocitytarget using time cumulation is presented. For Time of Arrival (TOA) based location incellular mobile communication systems, the complex plane model is introduced, usingthe rotation-invariant of based station, the location algorithm is obtained by data fusion.3. Direction of arrival (DOA) and frequency difference of arrival (FDOA) basedlocation in passive radar system is studied, a multi-least square location method forconstant velocity target based on DOA and FDOA is presented, and it has betterperformance than extended kalman filter (EKF). In the FDOA-only location system, adifferential evolution (DE) and genetic algorithm (GA) for target location is proposed,and it has moderate computational complexity and capacity for global optimization.4. TDOA, DOA and FDOA based location system using space-based platform isdiscussed, and the location performance are analyzed respectively, the geometricdilution of precision (GDOP) and location algorithms are given respectively.5. The target tracking based on passive radar is analyzed. A new unscentedtransform (UT) is presented, following as this transform, the new unscented kalman filter (UKF) is proposed, it has the smallest computational complexity and has the sametracking performance as ordinary UKF. When the target is maneuver, an adaptive UKFalgorithm is proposed, as limited memory technology is used, the new algorithm canalleviate the efficiency of obsolete observed data, and it has better trackingperformance.