Receiver selection for multi-target tracking in multi-static Doppler radar systems
Abstract This paper presents a novel receiver selection method for multi-target tracking in multi-static Doppler radar systems. The assumption is that in the surveillance volume of interest, a single transmitter with a known frequency is active and several spatially distributed radar receivers colle...
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2021
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oai:doaj.org-article:689c63e610424302a246c996f86422702021-12-05T12:10:29ZReceiver selection for multi-target tracking in multi-static Doppler radar systems10.1186/s13634-021-00826-31687-6180https://doaj.org/article/689c63e610424302a246c996f86422702021-12-01T00:00:00Zhttps://doi.org/10.1186/s13634-021-00826-3https://doaj.org/toc/1687-6180Abstract This paper presents a novel receiver selection method for multi-target tracking in multi-static Doppler radar systems. The assumption is that in the surveillance volume of interest, a single transmitter with a known frequency is active and several spatially distributed radar receivers collect and report Doppler-only measurements. The Doppler measurements are not only affected by the additive noise but also contaminated by false and missed detections. In this paper, multi-target tracking is obtained by modeling the multi-target state as a labeled multi-Bernoulli random finite set and receiver selection is implemented during tracking. Receiver selection is solved under the partially observed Markov decision framework, and the variance of the cardinality estimate is used as the selection criterion. To increase the diversity of the selected sensors and overcome the low observability of the Doppler measurement, the receivers selected at previous time steps are taken into account by adding a window. Simulation studies demonstrate the tracking performance of the proposed method with different window lengths. The results show that the observability of the target state is a crucial factor in determining the performance of receiver selection. The proposed method with a suitable window length can effectively improve the tracking accuracy.Yun ZhuLi ZhaoYumei ZhangXiaojun WuSpringerOpenarticleMulti-target trackingMulti-static Doppler radar systemReceiver selectionRandom finite setTelecommunicationTK5101-6720ElectronicsTK7800-8360ENEURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-16 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Multi-target tracking Multi-static Doppler radar system Receiver selection Random finite set Telecommunication TK5101-6720 Electronics TK7800-8360 |
spellingShingle |
Multi-target tracking Multi-static Doppler radar system Receiver selection Random finite set Telecommunication TK5101-6720 Electronics TK7800-8360 Yun Zhu Li Zhao Yumei Zhang Xiaojun Wu Receiver selection for multi-target tracking in multi-static Doppler radar systems |
description |
Abstract This paper presents a novel receiver selection method for multi-target tracking in multi-static Doppler radar systems. The assumption is that in the surveillance volume of interest, a single transmitter with a known frequency is active and several spatially distributed radar receivers collect and report Doppler-only measurements. The Doppler measurements are not only affected by the additive noise but also contaminated by false and missed detections. In this paper, multi-target tracking is obtained by modeling the multi-target state as a labeled multi-Bernoulli random finite set and receiver selection is implemented during tracking. Receiver selection is solved under the partially observed Markov decision framework, and the variance of the cardinality estimate is used as the selection criterion. To increase the diversity of the selected sensors and overcome the low observability of the Doppler measurement, the receivers selected at previous time steps are taken into account by adding a window. Simulation studies demonstrate the tracking performance of the proposed method with different window lengths. The results show that the observability of the target state is a crucial factor in determining the performance of receiver selection. The proposed method with a suitable window length can effectively improve the tracking accuracy. |
format |
article |
author |
Yun Zhu Li Zhao Yumei Zhang Xiaojun Wu |
author_facet |
Yun Zhu Li Zhao Yumei Zhang Xiaojun Wu |
author_sort |
Yun Zhu |
title |
Receiver selection for multi-target tracking in multi-static Doppler radar systems |
title_short |
Receiver selection for multi-target tracking in multi-static Doppler radar systems |
title_full |
Receiver selection for multi-target tracking in multi-static Doppler radar systems |
title_fullStr |
Receiver selection for multi-target tracking in multi-static Doppler radar systems |
title_full_unstemmed |
Receiver selection for multi-target tracking in multi-static Doppler radar systems |
title_sort |
receiver selection for multi-target tracking in multi-static doppler radar systems |
publisher |
SpringerOpen |
publishDate |
2021 |
url |
https://doaj.org/article/689c63e610424302a246c996f8642270 |
work_keys_str_mv |
AT yunzhu receiverselectionformultitargettrackinginmultistaticdopplerradarsystems AT lizhao receiverselectionformultitargettrackinginmultistaticdopplerradarsystems AT yumeizhang receiverselectionformultitargettrackinginmultistaticdopplerradarsystems AT xiaojunwu receiverselectionformultitargettrackinginmultistaticdopplerradarsystems |
_version_ |
1718372197058215936 |