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Exploiting Covariance Structure for Signal Detection in Array Processing

Exploiting Covariance Structure for Signal Detection in Array Processing

Paperback

General Political Science

ISBN10: 3384276647
ISBN13: 9783384276643
Publisher: Tredition Gmbh
Published: Jul 2 2024
Pages: 108
Weight: 0.37
Height: 0.26 Width: 6.00 Depth: 9.00
Language: English
Array processing involves utilizing multiple sensors (e.g., antennas) to collect data from a spatial environment. The primary objective is to extract the desired signal from a mixture of noise and interference. Several techniques exist for signal detection, including beamforming, matched filtering, and likelihood ratio tests. These methods typically rely on assumptions about the signal and noise characteristics. However, real-world environments often violate these assumptions. Noise may not be purely white (uncorrelated) and can exhibit spatial coherence. Additionally, interference might be structured and non-stationary. Here's where exploiting the covariance structure of the received data becomes advantageous.

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