【2019】雷达中的微多普勒效应（第二版）The Micro-Doppler Effect in Radar, Second Edition，共450页。
电子版QQ：3042075372。
由该领域的一位著名专家撰写的这本新版、扩充的Artech House经典著作包括生命体征和通过微型雷达进行性别识别的最新突破，以及涵盖多普勒效应和微多普勒效应的基本原理，并描述了雷达中的微多普勒信号。
Written by a prominent expert in the field, this updated and expanded second edition of an Artech House classic includes the most recent breakthroughs in vital sign and gender recognition via micro-radar, as well as covering basic principles of Doppler effect and micro-Doppler effect and describing basic applications of micro-Doppler signatures in radar.
本书详细介绍了如何从雷达信号中产生、分析微多普勒信号的过程。
The book presents detailed procedures about how to generate and analyze micro-Doppler signatures from radar signals.
读者将从本书学习如何建模一个物体（如人、旋转顶部、旋转转子叶片）的运动，模拟从该物体返回的雷达回波，并生成微多普勒信号。
Readers will learn how to model and animate an object (such as human, spinning top, rotating rotor blades) with movement, simulation of radar returns from the object, and generating micro-Doppler signature.
本书包括了谷歌项目“Soli”的报道，该项目演示了如何使用雷达微多普勒效应来感知和识别控制设备中人类手势的微运动。
The book includes coverage of the Google project “Soli”, which demonstrated the use of radar micro-Doppler effect to sense and recognize micro motions of human hand gesture for controlling devices.
本书还讨论了雷达对人体生命体征（呼吸和心跳的微运动）的非接触检测，这是雷达微多普勒传感器的另一个重要应用。
It also discusses noncontact detection of human vital sign (micro motions of breathing and heart beating) using radar, another important application of radar micro-Doppler sensors.
给出了模拟不同运动目标的雷达后向散射的详细MATLAB源代码，以及生成微多普勒信号和分析目标特性的源代码。
Detailed MATLAB source codes for simulation of radar backscattering from targets with various motions are provided, along with source codes for generating micro-Doppler signatures and analyzing characteristics of targets.
主要内容包括：
引言；
雷达微多普勒效应基础；
刚体运动的微多普勒效应；
非刚体运动的微多普勒效应；
生命体征检测的应用；
手势识别的应用；
微多普勒雷达系统概述；
微多普勒信号解释分析；
总结、挑战和展望。
Introduction;
Basics of the Micro-Doppler Effect in Radar;
The Micro-Doppler Effect of the Rigid Body Motion;
The Micro-Doppler Effect of the Non-Rigid Body Motion;
Applied to Vital Sign Detection;
Applied to Hand Gesture Recognition;
Overview of the Micro-Doppler Radar System;
Analysis of Interpretation of Micro-Doppler Signatures;
Summary, Challenges and Perspectives.
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