Invention Grant
- Patent Title: System and method for robust sensor localization based on euclidean distance matrix
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Application No.: US16016614Application Date: 2018-06-24
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Publication No.: US10823845B2Publication Date: 2020-11-03
- Inventor: Dehong Liu , Hassan Mansour , Petros Boufounos , Ulugbek Kamilov
- Applicant: Mitsubishi Electric Research Laboratories, Inc.
- Applicant Address: US MA Cambridge
- Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee Address: US MA Cambridge
- Agent Gene Vinokur
- Main IPC: G01S13/90
- IPC: G01S13/90 ; G01S7/295

Abstract:
Systems and methods for radar systems to produce a radar image of a region of interest (ROI with targets. Sensors to transmit source signals to the ROI and to measure echoes reflected back from the targets corresponding to the transmitted source signals. A processor to calculate an estimate of a noisy and a partial Euclidean Distance Matrix (EDM) of the sensors and the targets. Decompose the noisy and the partial EDM into a low rank EDM that corresponds to locations to actual sensors and target locations, and a sparse matrix of distance errors, using a constrained optimization process. The low rank EDM is mapped into the sensors and the targets locations, to obtain estimated actual sensor locations. Implement an inverse imaging process using the estimated actual sensor locations and the received data, to produce the radar image to output to a communication channel.
Public/Granted literature
- US20190391258A1 System and method for robust sensor localization based on Euclidean distance matrix Public/Granted day:2019-12-26
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