Title :
Copy correlation direction-of-arrival estimation performance
Author :
Richmond, Christ D. ; Forsythe, Keith W. ; Flynn, Christopher R.
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
Abstract :
The mean squared error performance of a copy weight correlation (CC) based method of angle estimation proposed by Forsythe and Richmond is studied via application of the method of interval error (MIE). It is demonstrated that at low SNRs the CC method leans heavily on the a priori information embedded in the copy weight, but at high SNRs reverts to the Capon algorithm estimate. This prior information can be quite advantageous when accurate (e.g. it can mitigate the threshold effect altogether), but possibly detrimental if either inaccurate or difficult to match (e.g. due to poorly known array calibration). It is shown here that the error probabilities used in MIE capture the threshold effects induced by mismatch, and correctly predict MSE performance over a wide range of scenarios.
Keywords :
array signal processing; correlation methods; direction-of-arrival estimation; error statistics; mean square error methods; CC based method; Capon algorithm estimate; DOA estimation; MIE; MSE performance prediction; angle estimation; beamformer; copy correlation direction-of-arrival estimation performance; copy weight; error probability; low SNR; mean squared error performance; method of interval error; threshold effects; Arrays; Coherence; Correlation; Direction of arrival estimation; Error probability; Estimation; Signal to noise ratio; Bayesian; Blind; DOA estimation; beamformer; copy weight; mismatch; signal copy; threshold effect;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
Print_ISBN :
978-1-4673-1070-3
DOI :
10.1109/SAM.2012.6250487