Application of cumulants to array signal processing .V. Sensitivity issues

Author

Liu, Tsung-Hsien ; Mendel, Jerry M.

Author_Institution

Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA

Volume

47

Issue

3

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

746

Lastpage

759

Abstract

For pt.IV see ibid., vol.45, p.2265-76 (1997). Virtual-ESPRIT (VESPA) imposes a slight constraint on the array, i.e., only a pair of identical sensors are required. We follow the classical procedure to define the sensitivity of VESPA with respect to each model parameter and derive closed forms for the sensitivity formulas. We justify our derivations by comparing the theoretical formulas with the results from Monte Carlo simulations. Additionally, we demonstrate, by simulations, that VESPA is more robust to model mismatches than ESPRIT in most situations

Keywords

Monte Carlo methods; array signal processing; digital simulation; direction-of-arrival estimation; higher order statistics; sensitivity analysis; ESPRIT; Monte Carlo simulations; VESPA; approximated small-perturbation formulas; array constraint; array signal processing; closed-form formulas; cumulants; identical sensors; model parameter; rotational invariance techniques; sensitivity; sensitivity formulas; signal parameter estimation; virtual-ESPRIT; Algorithm design and analysis; Azimuth; Multiple signal classification; Parameter estimation; Performance analysis; Robustness; Sensitivity analysis; Sensor arrays; Signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.747780

Filename

747780