Signal Processing for Cognitive Radios (Hardcover)

This book examines signal processing techniques for cognitive radios. The book is divided into three parts:

Part I, is an introduction to cognitive radios and presents a history of the cognitive radio (CR), and introduce their architecture, functionalities, ideal aspects, hardware platforms, and state-of-the-art developments. Dr. Jayaweera also introduces the specific type of CR that has gained the most research attention in recent years: the CR for Dynamic Spectrum Access (DSA). Part II of the book, Theoretical Foundations, guides the reader from classical to modern theories on statistical signal processing and inference. The author addresses detection and estimation theory, power spectrum estimation, classification, adaptive algorithms (machine learning), and inference and decision processes. Applications to the signal processing, inference and learning problems encountered in cognitive radios are interspersed throughout with concrete and accessible examples. Part III of the book, Signal Processing in Radios, identifies the key signal processing, inference, and learning tasks to be performed by wideband autonomous cognitive radios. The author provides signal processing solutions to each task by relating the tasks to materials covered in Part II. Specialized chapters then discuss specific signal processing algorithms required for DSA and DSS cognitive radios.

本書探討認知無線電的信號處理技術。該書分為三個部分：

第一部分是對認知無線電的介紹，包括認知無線電的歷史、架構、功能、理想方面、硬體平台和最新發展。作者還介紹了近年來研究最多的一種認知無線電類型：用於動態頻譜存取的認知無線電。第二部分是理論基礎，從經典到現代的統計信號處理和推斷理論引導讀者。作者討論了檢測和估計理論、功率譜估計、分類、自適應算法（機器學習）以及推斷和決策過程。在整本書中，作者穿插了具體且易於理解的例子，介紹了在認知無線電中遇到的信號處理、推斷和學習問題的應用。第三部分是無線電中的信號處理，確定了寬頻自主認知無線電需要執行的關鍵信號處理、推斷和學習任務。作者通過將這些任務與第二部分中涵蓋的材料相關聯，提供了每個任務的信號處理解決方案。然後，專門的章節討論了動態頻譜存取和動態頻譜共享認知無線電所需的特定信號處理算法。