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This paper considers the multi-target tracking (MTT) problem in multi-input multi-output (MIMO) radar systems with the “defocused transmit-focused receive” (DTFR) operating mode, in which each transmitter forms a defocused beam to illuminate the whole surveillance region and each receiver adopts a focused beam to acquire a high angular resolution. When MIMO radars work in the DTFR operating mode,...
In this paper, we consider the fluctuating targets detection problem in a distributed multi-sensor network. A multi-sensor multi-frame track-before-detect (MS-MF-TBD) procedure is proposed to sufficiently make use of the target energy diversity in space and time dimensions (space-time diversity). Two MS-MF-TBD methods, the multi-sensor maximum likelihood-probabilistic data association (MS-ML-PDA)...
The problem of target detection via dynamic programming based track before detect (DP-TBD) is considered in this paper. DP-TBD is a batch processing method that jointly processes the multiple consecutive frames of measurements in the processing window (PW). Due to this, when target-originated measurements becomes available after the PW beginning, DP-TBD has a detection latency problem, since the merit...
Dynamic programming based track before detect (DP-TBD) is a batch processing method. It exploits the space-time correlation among several consecutive frames of measurements and jointly processes all the measurements in these frames. Due to this batch processing manner, DP-TBD suffers heavy computational load since it involves processing a large volume of data. Moreover, in order to track long continuous...
In this paper, we proposes a new method based on back projection algorithm (BP) to measure displacement for ground-based interferometric radar. The method obtains two images collected at two different times via BP algorithm. And then we can achieve the phase difference of the two obtained images via conjugate multiplication operation. After that, the displacement of the target can be retrieved based...
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