Adaptive Noise Subspace Processing for Direction Finding in Sensor Arrays

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概要

• 論文の詳細を見る

• High-resolution algorithms for the detection and estimation of Directions of Arrival (DOA) such as MUSIC, lead to accurate results but require the computation of the noise-subspace through an expensive covariance matrix eigendecomposition. Adaptive estimators of the noise-subspace can be very useful in a non-stationary environment when the convergence is possible with a few number of snapshots. Some adaptive methods are presented showing that an indirect noise-subspace estimation through a signal subspace estimation can be advantageous both in terms of convergence rate and computation complexity during each update. Some computer simulations examples showing performances are provided.

• 社団法人電子情報通信学会の論文
• 1996-08-25

著者

• KLOUCHE-DJEDID Abdesselam

  ATR Adaptive Communications Research Laboratories

• KLOUCHE-DJEDID Abdesselam

  ATR, Adaptive Communications Research Laboratories

関連論文

• Detection-Estimation in Sensor Arrays without Eigendecompositions
• Adaptive Noise Subspace Processing for Direction Finding in Sensor Arrays

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