MAXIMUM-LIKELIHOOD ANGLE ESTIMATION FOR SIGNALS WITH KNOWN WAVE-FORMS

We consider maximum likelihood estimation of the arrival angles of narrow-band plane waves when one or all signals have known waveforms. We present computationally efficient and rapidly converging algorithms that iteratively maximize the likelihood functions. We also obtain Cramer-Rao bounds for these estimators. Finally, we describe the conditions under which incorporating knowledge of one or all of the signal waveforms in the estimators improves the accuracy of the angle estimates.