Title :
A Novel Power-Bearing Approach and Asymptotically Optimum Estimator for Target Motion Analysis
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
fDate :
3/1/2011 12:00:00 AM
Abstract :
The problem of target motion analysis (TMA) has been extensively investigated using bearing-only (BO), Doppler-bearing (DB), and other measurement data. For radio frequency (RF) emitters, signal powers follow the well-known path loss law that can be utilized to aid localization and target tracking in BO-TMA, leading to the novel power-bearing (PB) approach as proposed in this paper. Our main contribution lies in the proof of the asymptotic optimality of the total least-squares (TLS) algorithm for PB-TMA under some mild condition. The Cramér-Rao lower bound (CRLB) is employed to demonstrate the performance improvements of the PB-TMA over the BO-TMA. Our work shows the promise of the PB-TMA approach for RF signals.
Keywords :
Doppler measurement; losses; radiofrequency measurement; target tracking; Cramer-Rao lower bound; Doppler-bearing measurement data; PB-TMA; asymptotically optimum estimator; path loss law; power-bearing approach; radio frequency emitters; target motion analysis; target tracking; total least-squares algorithm; Cramer–Rao lower bounds; maximum likelihood estimation; parameter estimation; target motion analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2010.2096419