TY - GEN
T1 - A Hybrid BP-VMP-EP Localization Algorithm for Passive MIMO Radar Networks
AU - Wu, Dan
AU - Feng, Yuan
AU - Wang, Jianfeng
AU - Wu, Nan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/30
Y1 - 2018/11/30
N2 - A passive multiple-input multiple-output (MIMO) radar (PMR) network is an efficient system to detect and track targets, which consists of multiple distributed receivers and illuminators of opportunity. Conventional two-step localization first estimates the distance based on signal time delay mea-surements, then the location is obtained by using least square or maximum likelihood estimator. Recently, several works show that through direct localization, performance can be significantly improved. For a better balance between accuracy and complexity, in this paper, we propose a hybrid message passing localization algorithm. Derived from a Bayesian inference framework, the proposed method can be regarded as an iterative version of two-step methods. Simulations show that the proposed algorithm outperforms conventional two-step localization, and provides a trade-off between position accuracy, communication overhead and computational costs.
AB - A passive multiple-input multiple-output (MIMO) radar (PMR) network is an efficient system to detect and track targets, which consists of multiple distributed receivers and illuminators of opportunity. Conventional two-step localization first estimates the distance based on signal time delay mea-surements, then the location is obtained by using least square or maximum likelihood estimator. Recently, several works show that through direct localization, performance can be significantly improved. For a better balance between accuracy and complexity, in this paper, we propose a hybrid message passing localization algorithm. Derived from a Bayesian inference framework, the proposed method can be regarded as an iterative version of two-step methods. Simulations show that the proposed algorithm outperforms conventional two-step localization, and provides a trade-off between position accuracy, communication overhead and computational costs.
KW - Passive MIMO radar
KW - factor graph
KW - localization
KW - message passing
UR - http://www.scopus.com/inward/record.url?scp=85059937897&partnerID=8YFLogxK
U2 - 10.1109/WCSP.2018.8555670
DO - 10.1109/WCSP.2018.8555670
M3 - Conference contribution
AN - SCOPUS:85059937897
T3 - 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
BT - 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
Y2 - 18 October 2018 through 20 October 2018
ER -