Paper Info
Title
Multi-Target Localization In Asynchronous Mimo Radars Using Sparse Sensing
Abstract
Multi-target localization, warranted in emerging applications like autonomous driving, requires targets to be perfectly detected in the distributed nodes with accurate range measurements. This implies that high range resolution is crucial in distributed localization in the considered scenario. This work proposes a new framework for multi-target localization, addressing the demand for the high range resolution in automotive applications without increasing the required bandwidth. In particular, it employs sparse stepped frequency waveform and infers the target ranges by exploiting sparsity in target scene. The range measurements are then sent to a fusion center where direction of arrival estimation is undertaken. Numerical results illustrate the impact of range resolution on multi-target localization and the performance improvement arising from the proposed algorithm in such scenarios.
Year
Venue
Keywords
2017
2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP)
localization, stepped frequency modulation, joint range-DoA estimation, sparse sensing, l(1) optimization
Field
DocType
Citations 
Asynchronous communication,Direction of arrival,Computer science,Waveform,MIMO,Electronic engineering,Bandwidth (signal processing),Fusion center,Performance improvement,Automotive industry
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Saeid Sedighi1215.80
M. R. Bhavani Shankar219026.57
Sina Maleki326219.69
Björn E. Ottersten46418575.28