KEYWORDS: Target detection, Detection and tracking algorithms, Signal to noise ratio, Computer programming, Radar, Surveillance, Doppler effect, Radar signal processing, Computer simulations, Algorithm development
The detection and tracking of dim moving targets in very low signal-to-noise ratio (SNR) environment
has been a difficult problem in radar signal processing. For low SNR moving targets detection, a new
improved dynamic programming algorithm based on track-before-detection method is presented. This
new algorithm integrates energy along target moving tracks according to target moving parameter
information. This process substitutes the exhaustive search by a feasible algorithm. The simulation
confirms that this algorithm, with high computational efficiency, is feasible, and can effectively
estimate trajectories of dim closing moving targets. The process has also been shown to give an
increase in detection.
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