Adaptive Detection of Multichannel Signals Exploiting Persymmetry is popular PDF and ePub book, written by Jun Liu in 2022-12-20, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Adaptive Detection of Multichannel Signals Exploiting Persymmetry can be Read Online from any device for your convenience.

Adaptive Detection of Multichannel Signals Exploiting Persymmetry Book PDF Summary

This book offers a systematic presentation of persymmetric adaptive detection, including detector derivations and the definition of key concepts, followed by detailed discussion relating to theoretical underpinnings, design methodology, design considerations, and techniques enabling its practical implementation. The received data for modern radar systems are usually multichannel, namely, vector-valued, or even matrix-valued. Multichannel signal detection in Gaussian backgrounds is a fundamental problem for radar applications. With an overarching focus on persymmetric adaptive detectors, this book presents the mathematical models and design principles necessary for analyzing the behavior of each kind of persymmetric adaptive detector. Building upon that, it also introduces new design approaches and techniques that will guide engineering students as well as radar engineers toward efficient detector solutions, especially in challenging sample-starved environments where training data are limited. This book will be of interest to students, scholars, and engineers in the field of signal processing. It will be especially useful for those who have a solid background in statistical signal processing, multivariate statistical analysis, matrix theory, and mathematical analysis.

Detail Book of Adaptive Detection of Multichannel Signals Exploiting Persymmetry PDF

Adaptive Detection of Multichannel Signals Exploiting Persymmetry
  • Author : Jun Liu
  • Release : 20 December 2022
  • Publisher : CRC Press
  • ISBN : 9781000800739
  • Genre : Technology & Engineering
  • Total Page : 314 pages
  • Language : English
  • PDF File Size : 11,5 Mb

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