Tracker-aware adaptive detection: An efficient closed-form solution for the Neyman–Pearson case |
| |
Authors: | Murat ?amil Aslan Af?ar Saranl? Buyurman Baykal |
| |
Affiliation: | 1. TÜB?TAK UEKAE ?LTAREN, ?ehit Mu. Kur. Yzb. ?lhan Tan K??las?, 2432. cad., 2489 sok., Ümitköy, Ankara 06800, Turkey;2. Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara 06531, Turkey |
| |
Abstract: | A promising line of research for radar systems attempts to optimize the detector thresholds so as to maximize the overall performance of a radar detector–tracker pair. In the present work, we attempt to move in a direction to fulfill this promise by considering a particular dynamic optimization scheme which relies on a non-simulation performance prediction (NSPP) methodology for the probabilistic data association filter (PDAF), namely, the modified Riccati equation (MRE). By using a suitable functional approximation, we propose a closed-form solution for the special case of a Neyman–Pearson (NP) detector. The proposed solution replaces previously proposed iterative solution formulations and results in dramatic improvement in computational complexity without sacrificed system performance. Moreover, it provides a theoretical lower bound on the detection signal-to-noise ratio (SNR) concerning when the whole tracking system should be switched to the track before detect (TBD) mode. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|