A Scalable Track-Before-Detect Method With Poisson/Multi-Bernoulli Model

• DOI: 10.48550/arxiv.2109.01490
• Publication Date: 2021-11-01
• Authors: Kropfreiter, Thomas; Williams, Jason L.; Meyer, Florian
• Keywords: Signal Processing (eess.SP); FOS: Electrical engineering, electronic engineering, information engineering; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Electrical Engineering and Systems Science - Signal Processing

We propose a scalable track-before-detect (TBD) tracking method based on a Poisson/multi-Bernoulli model. To limit computational complexity, we approximate the exact multi-Bernoulli mixture posterior probability density function (pdf) by a multi-Bernoulli pdf. Data association based on the sum-product algorithm and recycling of Bernoulli components enable the detection and tracking of low-observable objects with limited computational resources. Our simulation results demonstrate a significantly improved tracking performance compared to a state-of-the-art TBD method.<br/>published at FUSION conference 2021<br/>