Paper Info
Title
An Improved Algebraic Solution for Moving Target Localization in Noncoherent MIMO Radar Systems
Abstract
We propose an improved method for moving target localization with a noncoherent multiple-input multiple-output (MIMO) radar system having widely separated antennas. The method is based on the well-known two-stage weighted least squares (2SWLS) method, but in contrast to the recently proposed Group-2SWLS, it requires only one reference transmitter (or receiver) without grouping and combining. This change allows us to obtain a closed-form solution which is less likely to be degraded by bias. Furthermore, the proposed method can easily utilize not only time-of-arrival (TOA) and frequency-of-arrival (FOA) data but also time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) data. We also introduce new auxiliary variables for the purpose of numerical stability; our method using the auxiliary variables is shown to be numerically more stable than the Group-2SWLS, while attaining the Cramér–Rao lower bound (CRLB) at higher noise levels. The adoption of auxiliary variables requires no additional computations in contrast to the adoption of the concept of Turbo-2SWLS for the same purpose.
Year
DOI
Venue
2016
10.1109/TSP.2015.2477803
Signal Processing, IEEE Transactions
Keywords
Field
DocType
FDOA,FOA,MIMO radars,TDOA,TOA,target localization
Least squares,Cramér–Rao bound,Continuous-wave radar,Transmitter,Control theory,Upper and lower bounds,MIMO,FDOA,Multilateration,Mathematics
Journal
Volume
Issue
ISSN
64
1
1053-587X
Citations 
PageRank 
References 
11
0.59
10
Authors
2
Name
Order
Citations
PageRank
Heeseong Yang1111.26
Joohwan Chun239635.12