Paper
15 September 2005 Joint detection and tracking of unresolved targets with a monopulse radar using a particle filter
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Abstract
Detection and estimation of multiple unresolved targets with a monopulse radar is a challenging problem. For ideal single bin processing, it was shown in the literature that at most two unresolved targets can be extracted from the complex matched filter output signal. In this paper, a new algorithm is developed to jointly detect and track more than two targets from a single detected bin. This method involves the use of tracking data in detection. For this purpose, target states are transformed into detection parameter space, which involves high nonlinearity. In order to handle this, the sequential Monte Carlo (SMC) method, which is proved to be effective for nonlinear non-Gaussian estimation problems, is used as the basis of the closed loop system for tracking multiple unresolved targets. In addition to the standard SMC steps, the detection parameters corresponding to the predicted particles are evaluated using the nonlinear monopulse radar beam model. It in turn enables the evaluation of the likelihood of the monopulse signal given tracking data. That is, we evaluate the likelihoods of different hypotheses of possible combinations of targets being in different detected bins. The hypothesis testing is used to find the correct detection event. The particles are updated and resampled according to the hypothesis that has the highest likelihood (score). A simulated amplitude comparison monopulse radar is used to generate the data with more than unresolved two targets. Simulation results confirm the possible extraction and tracking of more than two targets jointly.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. Nandakumaran, A. Sinha, and T. Kirubarajan "Joint detection and tracking of unresolved targets with a monopulse radar using a particle filter", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59131T (15 September 2005); https://doi.org/10.1117/12.618441
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Cited by 1 scholarly publication.
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KEYWORDS
Target detection

Radar

Bismuth

Particles

Monte Carlo methods

Algorithm development

Detection and tracking algorithms

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