An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities
This article considers the detection and tracking of weak targets in multiple pulse repetition frequency (multi-PRF) radars using the track-before-detect (TBD) technique. By exploring the measurement independence among different PRFs, we decompose the joint multi-PRF and multiframe optimization prob...
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Format: | Journal Article |
Language: | English |
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2022
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Online Access: | https://hdl.handle.net/10356/163763 |
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author | Li, Wujun Yi, Wei Kong, Lingjiang Teh, Kah Chan |
author2 | School of Electrical and Electronic Engineering |
author_facet | School of Electrical and Electronic Engineering Li, Wujun Yi, Wei Kong, Lingjiang Teh, Kah Chan |
author_sort | Li, Wujun |
collection | NTU |
description | This article considers the detection and tracking of weak targets in multiple pulse repetition frequency (multi-PRF) radars using the track-before-detect (TBD) technique. By exploring the measurement independence among different PRFs, we decompose the joint multi-PRF and multiframe optimization problem into several lower dimensional maximizations, each of which corresponds to an intra-PRF multiframe processing. An efficient two-stage TBD procedure with a parallel structure is proposed for the multi-PRF radars. Specifically, in the first stage, a constraint inequality is derived analytically and used to decouple the measurement ambiguities from the nonlinear conversion relationship between polar and Cartesian coordinates. The intra-PRF multiframe integration can then be carried out concurrently using the ambiguous measurements and the target-like measurement plot sequences with different ambiguities are extracted for different PRFs. In the second stage, a covariance combination fusion-based inter-PRF joint disambiguation and estimation algorithm is proposed to solve the ambiguities of the plot sequences and output high-Accuracy target tracks. Simulation experiments show that the proposed algorithm can provide a good detection performance and higher tracking accuracy with much lower complexity. |
first_indexed | 2025-02-19T03:27:27Z |
format | Journal Article |
id | ntu-10356/163763 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2025-02-19T03:27:27Z |
publishDate | 2022 |
record_format | dspace |
spelling | ntu-10356/1637632022-12-16T01:59:43Z An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities Li, Wujun Yi, Wei Kong, Lingjiang Teh, Kah Chan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Radar Tracking Radar This article considers the detection and tracking of weak targets in multiple pulse repetition frequency (multi-PRF) radars using the track-before-detect (TBD) technique. By exploring the measurement independence among different PRFs, we decompose the joint multi-PRF and multiframe optimization problem into several lower dimensional maximizations, each of which corresponds to an intra-PRF multiframe processing. An efficient two-stage TBD procedure with a parallel structure is proposed for the multi-PRF radars. Specifically, in the first stage, a constraint inequality is derived analytically and used to decouple the measurement ambiguities from the nonlinear conversion relationship between polar and Cartesian coordinates. The intra-PRF multiframe integration can then be carried out concurrently using the ambiguous measurements and the target-like measurement plot sequences with different ambiguities are extracted for different PRFs. In the second stage, a covariance combination fusion-based inter-PRF joint disambiguation and estimation algorithm is proposed to solve the ambiguities of the plot sequences and output high-Accuracy target tracks. Simulation experiments show that the proposed algorithm can provide a good detection performance and higher tracking accuracy with much lower complexity. This work was supported in part by the National Natural Science Foundation of China under Grant 61771110, Grant U19B2017, and Grant 61871103, in part by the Fundamental Research Funds of Central Universities under Grant ZYGX2020ZB029, in part by Chang Jiang Scholars Program and the 111 Project under Grant B17008, and in part by the China Scholarship Council. 2022-12-16T01:59:43Z 2022-12-16T01:59:43Z 2022 Journal Article Li, W., Yi, W., Kong, L. & Teh, K. C. (2022). An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities. IEEE Transactions On Aerospace and Electronic Systems, 58(5), 4083-4100. https://dx.doi.org/10.1109/TAES.2022.3158633 0018-9251 https://hdl.handle.net/10356/163763 10.1109/TAES.2022.3158633 2-s2.0-85126331721 5 58 4083 4100 en IEEE Transactions on Aerospace and Electronic Systems © 2022 IEEE. All rights reserved. |
spellingShingle | Engineering::Electrical and electronic engineering Radar Tracking Radar Li, Wujun Yi, Wei Kong, Lingjiang Teh, Kah Chan An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities |
title | An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities |
title_full | An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities |
title_fullStr | An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities |
title_full_unstemmed | An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities |
title_short | An efficient track-before-detect for multi-PRF radars with range and doppler ambiguities |
title_sort | efficient track before detect for multi prf radars with range and doppler ambiguities |
topic | Engineering::Electrical and electronic engineering Radar Tracking Radar |
url | https://hdl.handle.net/10356/163763 |
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