Title :
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
fDate :
3/1/1999 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
