Title
Statistically Efficient Passive Ranging Using Signal Intensity Observations From a Single Fixed Sensor.
Abstract
In this paper, a passive ranging problem with elevation angle, azimuth angle, and signal intensity measurements is presented. The signal intensity is inversely proportional to the squared distance between target and sensor. All measurements are obtained from a single fixed sensor and the emitted signal intensity is unknown. The observability is investigated through the Fisher information matrix (FIM) and Cramer-Rao lower bound. The maximum-likelihood (ML) estimator is used for the estimation of the trajectory of the target and the FIM is calculated numerically. The simulation results prove the feasibility of passive ranging using signal intensity measurements from a single stationary passive sensor. The estimates are shown to be statistically efficient.
Year
DOI
Venue
2017
10.1109/TAES.2017.2715998
IEEE Trans. Aerospace and Electronic Systems
Keywords
Field
DocType
Maximum likelihood estimation,Observability,Distance measurement,Noise measurement,Motion measurement,Acceleration
Observability,Noise measurement,Upper and lower bounds,Control theory,Azimuth,Ranging,Acceleration,Fisher information,Acoustics,Mathematics,Estimator
Journal
Volume
Issue
ISSN
53
6
0018-9251
Citations 
PageRank 
References 
0
0.34
5
Authors
5
Name
Order
Citations
PageRank
Kaipei Yang101.69
Yaakov Bar-Shalom246099.56
Peter Willett31962224.14
Ziv Freund400.68
Ronen Ben-Dov512.76