Exploiting Covariance Structure for Signal Detection in Array Processing (Paperback)
Perry
Sold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since June 29, 2022
New - Soft cover
Condition: New
Quantity: 1 available
Add to basketSold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since June 29, 2022
Condition: New
Quantity: 1 available
Add to basketPaperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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