A novel power-bearing approach and asymptotically optimum estimator for target motion analysis
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. © 2010 IEEE.
Publication Source (Journal or Book title)
IEEE Transactions on Signal Processing
Gu, G. (2011). A novel power-bearing approach and asymptotically optimum estimator for target motion analysis. IEEE Transactions on Signal Processing, 59 (3), 912-922. https://doi.org/10.1109/TSP.2010.2096419