Target tracking in over the horizon radar

Andrew Finelli; Yaakov Bar-Shalom; Peter Willett; Francesco A. N. Palmieri; Braham Himed

doi:10.1117/12.2519776

7 May 2019 Target tracking in over the horizon radar

Andrew Finelli, Yaakov Bar-Shalom, Peter Willett, Francesco A. N. Palmieri, Braham Himed

Proceedings Volume 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII; 1101803 (2019) https://doi.org/10.1117/12.2519776
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

This paper describes the application of the Deep Target Extractor (DTE), developed from the Maximum Likelihood Probabilistic Multiple Hypothesis Tracker (ML-PMHT), to measurements from an over-the-horizon radar (OTHR) observing a highly maneuvering target (HMT). We describe the motion model for HMTs that start at very large speeds and makes extremely sharp turns. We then present a measurement model for OTHR that uses ray-tracing software to produce detections across multiple signal paths resulting from ionospheric refractions. Next, we describe the DTE operation in the multiple signal path framework of the OTHR. Finally, we present a test scenario where the DTE performance shows low root-mean-square error (RMSE) for HMT motion parameter estimation.

Conference Presentation

Citation Download Citation

Andrew Finelli, Yaakov Bar-Shalom, Peter Willett, Francesco A. N. Palmieri, and Braham Himed "Target tracking in over the horizon radar", Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 1101803 (7 May 2019); https://doi.org/10.1117/12.2519776

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