Parameter Adjustment for a Dynamic Programming Track-before-Detect-Based Target Detection Algorithm
نویسندگان
چکیده
منابع مشابه
Parameter Adjustment for a Dynamic Programming Track-before-Detect-Based Target Detection Algorithm
This paper addresses the problem of tracking a dim moving point target in a sequence of IR images. The proposed tracking system, based on the track-before-detect (TBD) approach, is designed to track and detect dim maneuvering targets from an image sequence under low SNR conditions; a dynamic programming algorithm (DPA) is used to process the frames in the sequence. This paper deals with the pra...
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In high noise and clutter, target tracking techniques, such as the Kalman filter, probabilistic data association (PDA) and multiple hypothesis testing (MHT), declare detections at each measurement time. The detections are then used to estimate the target trajectory. A limitation of these methods is that much of the information contained in the measurements is discarded due to the application of...
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In this paper, a novel track-before-detect algorithm is proposed for weak target with low signal to noise ratio. Multi-sensor information combining with trackbefore-detect technology is used to improve the signal to noise ratio. According to frame sequences of each sensor, Rao-Blackwellized particle filter, which is a clever combination of the Kalman filter and the standard particle filter, is ...
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This paper presents a novel compressed sensing based track before detect (CS-TBD) algorithm. The proposed algorithm reconstructs the whole radar scenario (direction of arrival (DOA)Doppler plane) for each range gate at consecutive scans using an improved stagewise orthogonal matching pursuit (StOMP) algorithm, resulting in a three-dimensional range-DOA-Doppler space. It then performs temporal t...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2008
ISSN: 1687-6180
DOI: 10.1155/2008/146925