Challenges and Techniques in Signal Detection with Unknown Covariance Matrix

By Sana

Signal detection is a fundamental task in various fields like radar, sonar, communication systems, and medical imaging. It involves deciding whether a desired signal is present in a noisy environment. The covariance matrix, which captures the statistical properties of the noise, plays a crucial role in designing optimal detection algorithms. However, in many practical scenarios, the covariance matrix is unknown due to factors like limited data, non-stationary noise, or complex environments. This unknown covariance matrix presents significant challenges for signal detection.

• Format: Paperback
• Language: English
• ISBN: 338428321X
• ISBN13: 9783384283214
• Release Date: July 2024
• Publisher: Tredition Gmbh
• Length: 108 Pages
• Weight: 0.37 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"