DocumentCode :
2437201
Title :
Performance bound for localization of a near field source
Author :
Chiriac, Vlad M. ; Haimovich, Alexander M. ; Schwartz, Stuart C. ; Dabin, Jason A.
Author_Institution :
ECE Dept., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2009
fDate :
1-4 Nov. 2009
Firstpage :
130
Lastpage :
135
Abstract :
The Ziv-Zakai bound (ZZB) is developed for the estimation error of a radiating source located in a plane, and observed by sensors widely distributed over the same plane. The source is non-cooperative in the sense that the transmitted waveform and its timing are unknown to the sensors. The sensors do have however, information on the power spectral density of the source. Moreover, sensors have ideal mutual time and phase synchronization. The source location is estimated by coherent processing exploiting the amplitude and phase information between pairs of sensors. An analytical expression is developed for the ZZB relating the estimation error to the carrier frequency, signal bandwidth, the number of sensors, and their location. Numerical examples demonstrate that the ZZB closely predicts the performance of the maximum likelihood estimate across the full range of signal to noise ratio (SNR) values. At low SNR, the ZZB bound demonstrates performance dominated by noise, at medium SNR, the performance is dictated by the presence of sidelobes in the localization metric, and at high SNR, it is shown that the ZZB converges to the Cramer-Rao bound.
Keywords :
frequency estimation; maximum likelihood estimation; sensors; signal processing; synchronisation; Cramer-Rao bound; Ziv-Zakai bound; carrier frequency; distributed sensors; error estimation; maximum likelihood estimate; near field source localization; noncooperative source; phase synchronization; power spectral density; signal to noise ratio; time synchronization; Amplitude estimation; Bandwidth; Estimation error; Frequency estimation; Frequency synchronization; Phase estimation; Position measurement; Signal analysis; Signal to noise ratio; Timing; Parameter Estimation; Performance Bounds; Source Localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-5825-7
Type :
conf
DOI :
10.1109/ACSSC.2009.5470148
Filename :
5470148
Link To Document :
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