Title
Tracking and Localizing Moving Targets in the Presence of Phase Measurement Ambiguities
Abstract
When tracking a target using phase-only signal returns, range ambiguities due to the modulo 2π in measured signal phases are a major issue. Standard approaches to such problems would typically involve the use of Diophantine equations. In this paper, a simpler and robust solution is examined which uses look-up tables defined between the phase measurement and target location spaces to determine the phase measurement mapping. We show, first, that when the target motion is significant between data sampling intervals the location ambiguity can be resolved over time via known target-in-cluster tracking techniques. This method determines the optimal allocation of location with respect to phase measurements relative to the quantization of look up table values. Second, when the target is undergoing micromotions (jitter) which results in the same collection of candidate locations from phase measurements over time, the location ambiguity can be resolved using a novel phase distribution discrimination method. In this method a probability density function of the ambiguous phase-only measurement is derived that takes both sensor noise and target motion distributions into account based on directional statistics. Optimal locations are inferred from such distributions. Examples are given to demonstrate the effectiveness of these proposed methods.
Year
DOI
Venue
2011
10.1109/TSP.2011.2152399
IEEE Transactions on Signal Processing
Keywords
Field
DocType
phase measurement mapping,optimal location,measured signal phase,target motion,target location space,novel phase distribution discrimination,location ambiguity,candidate location,target motion distribution,phase measurement ambiguities,phase measurement,probability density function,mathematical model,look up table,statistical analysis,noise measurement,diophantine equation,probability
Directional statistics,Lookup table,Mathematical optimization,Noise measurement,Modulo,Jitter,Quantization (signal processing),Ambiguity,Probability density function,Mathematics
Journal
Volume
Issue
ISSN
59
8
1053-587X
Citations 
PageRank 
References 
7
0.63
8
Authors
4
Name
Order
Citations
PageRank
Yongqiang Cheng113329.99
Xuezhi Wang2254.53
T. Caelli3967.60
B. Moran411121.09