瑞利衰落信道下，采用MRC分集误码性能matlab程序，调制方式可以采用BPSK,QPSK,8PSK,16QAM
2019-12-21 21:31:19
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contents
Contents
Waveform diversity: a way forward to the future of the radar
A. De Maio, A. Farina, F. Gini, L. Patton and M.Wicks
Chapter 1 Classical radar waveform design
Nadav Levanon
Chapter 2 Information theory and radar waveform design
Mark R. Bell and Mir Hamza Mahmood
Chapter 3 Multistatic ambiguity function and sensor placement strategies
Ivan Bradaric1, Gerard T. Capraro and Michael C.Wicks
Chapter 4 MIMO radar waveform design
Ming Xue, Jian Li and Petre Stoica
Chapter 5 Passive bistatic radar waveforms
Hugh D. Griffiths and Chris J. Baker
Chapter 6 Biologically inspired waveform diversity
Chris J. Baker, Hugh D. Griffiths and Alessio Balleri
Chapter 7 Continuous waveforms for automotive radar systems
Hermann Rohling and Matthias Kronauge
Chapter 8 Multistatic and waveform-diverse radar pulse compression
Shannon D. Blunt, Thomas Higgins,Aaron K. Shackelford and Karl Gerlach
Chapter 9 Optimal channel selection in a multistatic radar system
M.S. Greco, P. Stinco, F. Gini, A. Farina and M. Rangaswamy
Chapter 10 Waveform design for non-cooperative radar networks
Antonio De Maio, Silvio De Nicola, Alfonso Farina and Michael C.Wicks
Chapter 11 Waveform design based on phase conjugation and time reversal
Lucio Bellomo, Marc Saillard, Sébastien Pioch,Frédéric Barbaresco and Marc Lesturgie
Chapter 12 Space-time diversity for active antenna systems
J.-P. Guyvarch, L. Savy and F. Le Chevalier
Chapter 13 Autocorrelation constraints in radar waveform optimization for detection
Lee K. Patton and Brian D. Rigling
Chapter 14 Adaptive waveform design for radar target classification
Nathan A. Goodman
Chapter 15 Adaptive waveform design for tracking
Antonia Papandreou-Suppappola, Jason Jun Zhang, Bhavana Chakraborty, Ying Li, Darryl Morrell and Sandeep P. Sira
Chapter 16 Adaptive polarization design for target detection and tracking
Martin
2019-12-21 20:17:47
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基于Matlab的Rake接受机的仿真 发射端包括分集发射，接收端的最大比值合并、等增益合并以及选择式合并方式
2019-12-21 20:00:00
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基于Matlab的MIMO通信系统仿真；了解移动通信关键技术；了解数字通信系统仿真流程；实现基本的信道编译码、调制解调等通信模块；学习并实现MIMO空时处理技术；学习性能分析的思路和方法。MIMO communication system based on Matlab simulation; understand key mobile communication technology; understand digital communication system simulation process; achieve basic channel encoding and decoding, modulation and demodulation of communication module; learn and achieve MIMO space-time processing technology; learning ideas and performance analysis methods.
2019-12-21 18:55:44
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