Weighted least squares algorithm for target localization in distributed MIMO radar
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 144-150 |
| Journal / Publication | Signal Processing |
| Volume | 115 |
| Online published | 11 Apr 2015 |
| Publication status | Published - Oct 2015 |
Link(s)
Abstract
In this paper, we address the problem of locating a target using multiple-input multiple-output (MIMO) radar with widely separated antennas. Through linearizing the bistatic range measurements, which correspond to the sum of transmitter-to-target and target-to-receiver distances, a quadratically constrained quadratic program (QCQP) for target localization is formulated. The solution of the QCQP is proved to be an unbiased position estimate whose variance equals the Cramér-Rao lower bound. A weighted least squares algorithm is developed to realize the QCQP. Simulation results are included to demonstrate the high accuracy of the proposed MIMO radar positioning approach.
Research Area(s)
- Bistatic range, Multiple-input multiple-output (MIMO) radar, Target localization, Weighted least squares
Citation Format(s)
Weighted least squares algorithm for target localization in distributed MIMO radar. / Einemo, Martin; So, Hing Cheung.
In: Signal Processing, Vol. 115, 10.2015, p. 144-150.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
