Array processing: Difference between revisions

Revision as of 06:58, 28 September 2018

Revision as of 07:01, 28 September 2018

Line 101:

<math>\textstyle where\ the\ noise\ eigenvector\ matrix\ E_{n}=[e_{d}+1, .... , e_{M}]</math>

MUSIC spectrum approach useuses a single realization of the stochastic process that is represent by the snapshots x (t), t=1, 2 …M. MUSIC estimates are consistent and they converge to true source bearings as the number of snapshots grows to infinity. A basic drawback of MUSIC approach is its sensitivity to model errors. A costly procedure of calibration is required in MUSIC and it is very sensitive to errors in the calibration procedure. The cost of calibration increases as the number of parameters that define the array manifold increases.

=== Parametric–based solutions ===