Exploiting Covariance Structure for Signal Detection in Array Processing

Perry

ISBN 10: 3384276647 / ISBN 13: 9783384276643

Published by Tredition Jul 2024, 2024

About this Item

Neuware -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.tredition GmbH, Heinz-Beusen-Stieg 5, 22926 Ahrensburg 108 pp. Englisch.

Seller Inventory # 9783384276643

Bibliographic Details

• Title: Exploiting Covariance Structure for Signal Detection in Array Processing
• Publisher: Tredition Jul 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 3384276647
• ISBN 13: 9783384276643
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.