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Track-before-detect for complex extended targets based sequential monte carlo Mb-sub-random matrices filter

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Abstract

Tracking for multiple extended objects with a complex extension is a challenging radar technology; especially for small back-scattering objects such as extended stealth targets (ESTs). This work provides a new approach for ESTs tracking under the non-linear dynamic system based on track-before-detect (TBD) approach. The sequential Monte Carlo multi-Bernoulli (SMC-MB) filter provides a good framework to cope with TBD approach. Recently, the SMC-MB filter with a random matrix model (RMM) has been applied for tracking extended targets by additional state variables. However, SMC-MB-RMM filter is implemented with known detection probability, which is unsuitable for ESTs-TBD scenario. Therefore, we introduce a new SMC-MB-RMM filter hybrid with TBD algorithm, which is effective method to track ESTs. In ESTs-RMM-TBD scenarios, although the extension ellipsoid is effective, it may not be accurate enough due to lacking the useful parameters, such as shape, size and orientation. Therefore, we propose a ESTs-Sub-RMM-TBD composed of sub-ellipses; each one is applied by RMM. Based on such models, a SMC-Sub-RMM-MB-TBD algorithm is applied to estimate extensions and kinematic states for each sub-objects. The simulation results show that the presented filter has a small OSPA errors and more accurate cardinality calculation than the other algorithms.

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Authors and Affiliations

  1. Department of Electrical Engineering, Alexandria University, Alexandria, Egypt

    Mohamed Barbary

  2. Egyptian Technical Research and Developing Centre, Elsayeda Aisha, Cairo, Egypt

    Mohamed Barbary

  3. Department of Electronics and Communication, Arab Academy for Science Technology and Maritime Transport, Cairo, Egypt

    Mohamed H. Abd El-Azeem

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  1. Mohamed Barbary
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  2. Mohamed H. Abd El-Azeem
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Correspondence to Mohamed Barbary.

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Barbary, M., El-Azeem, M.H.A. Track-before-detect for complex extended targets based sequential monte carlo Mb-sub-random matrices filter. Multidim Syst Sign Process 32, 863–896 (2021). https://doi.org/10.1007/s11045-021-00762-3

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  • DOI: https://doi.org/10.1007/s11045-021-00762-3

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