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portada Exploiting Covariance Structure for Signal Detection in Array Processing
Type
Physical Book
Publisher
Author
Language
English
Pages
108
Format
Paperback
ISBN13
9783384276643

Exploiting Covariance Structure for Signal Detection in Array Processing

Perry (Author) · Tredition Gmbh · Paperback

Exploiting Covariance Structure for Signal Detection in Array Processing - Perry

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Synopsis "Exploiting Covariance Structure for Signal Detection in Array Processing"

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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