Direction finding in random inhomogeneous media in the presence of multiplicative noise

The performances of high resolution array processing methods are known to d egrade in random inhomogeneous media. Such a degradation is caused by rando m amplitude and phase variations of source wavefronts. In this letter, the popular covariance matching approach to direction findi ng in the presence of multiplicative noise is extended to the multiple sour ce ease, Using a few unrestrictive physics-based assumptions on the environ ment, we derive a generic multiplicative noise data model. Based on this mo del, new direction finding techniques are proposed.