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|Title:||EM-Esprit Algorithm for Direction Finding with Nonuniform Arrays||Authors:||Kassis, Carine El
|Affiliations:||Department of Electrical Engineering||Keywords:||Sensor arrays
Direction of arrival estimation
Signal processing algorithms
Multiple signal classification
Linear antenna arrays
|Issue Date:||2007||Part of:||2007 IEEE/SP 14th Workshop on Statistical Signal Processing||Start page:||453||End page:||457||Conference:||Workshop on Statistical Signal Processing (14th : 26-29 Aug 2007 : Madison, WI, USA)||Abstract:||
This paper deals with the problem of the Direction Of Arrival (DOA) estimation with nonuniform linear arrays. The proposed method is a combination of the Expectation Maximization (EM) and the ESPRIT methods. The EM algorithm interpolates the nonuniform array to an equivalent uniform array, and then, the application of ESPRIT is possible, in order to estimate the DOA. One of this method novelties lies in its capacity of dealing with any nonuniform array geometry. This technique manifests significant performance and computational advantages over previous algorithms such as MUSIC, specially in the preasymptotic domain, and the comparison with the theoretical Cramer-Rao Bounds (CRB) shows its efficiency.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/523||Ezproxy URL:||Link to full text||Type:||Conference Paper|
|Appears in Collections:||Department of Electrical Engineering|
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