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Incorporation of prior information is necessary in passive radar tracking to achieve good tracking precision. This prior information consists e.g. of the size of the measurement errors, the model of the probability of detection and the false alarm intensity. In this paper methods to extract the information from real passive radar data by exploiting information from cooperative targets are discussed...
The main task of multistatic active sonar is the localisation and tracking of objects of interest (targets). Therefore, a precise knowledge of the parameters of the multistatic scenario is mandatory. These are the positions of the acoustic sources, the times of transmission, as well as the position and heading of the own sonar sensor. Reflections from so called “fixed points” can be used to improve...
We consider an autonomous underwater vehicle (AUV) equipped with a towed hydrophone antenna array which receives signals and echoes from active sonar sources at standoff ranges. Neither the positions of the sources nor the timing of transmissions are known to the AUV. The objective of the analysis onboard the AUV is to estimate these parameters by processing the received acoustic data. The estimate...
This study describes the processing scheme of the FKIE (Fraunhofer Institute for Communication, Information Processing and Ergonomics) GSM-based passive coherent location (PCL) system, which consists of an antenna and signal processing adapted to the GSM waveform and of target tracking based on multi-hypothesis tracking. To overcome the limitations from a single bistatic transmitter–receiver pair,...
In this paper the task of person tracking for WiFi based multistatic passive radar is discussed. To benefit from the localisation gain by fusing measurements from different transmitter-receiver pairs a robust association strategy is needed. We present a version of the multihypothesis tracker, which incorporates a detailed model of probability of detection (for example occlusion by walls is modelled)...
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