Mutual information based radar target detection and delay estimation

Nan Wang; Dazhuan Xu; Xiaolong Kong

doi:10.1117/12.2659252

23 November 2022 Mutual information based radar target detection and delay estimation

Nan Wang, Dazhuan Xu, Xiaolong Kong

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 1245413 (2022) https://doi.org/10.1117/12.2659252
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

Many signal processing applications simultaneously involve detecting targets' states and estimating unknown parameters. It is not been given adequate attention to joint detection and estimation (JDE) due to the differences between the evaluation metrics for detection and estimation. In this paper, we investigate the problem of JDE from the perspective of information theory. Based on the complex Gaussian scattering module of the target, we derive the joint channel for the target state and the time delay. The expression for the a posteriori probability density function is derived from the a priori statistical properties of the target state and the time delay. Furthermore, we propose the joint information as a new criterion to evaluate the JDE performance, which is the mutual information between the received signal and the target state and the time delay. The joint information is theoretical and dependent on any specific sensor. The simulation results confirm the effectiveness of the proposed joint information criterion.

Citation Download Citation

Nan Wang, Dazhuan Xu, and Xiaolong Kong "Mutual information based radar target detection and delay estimation", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 1245413 (23 November 2022); https://doi.org/10.1117/12.2659252

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KEYWORDS

Radar

Target detection

Signal to noise ratio

Telecommunications

Information theory

Scattering

Detection and tracking algorithms

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