radar_sort

QPSK平台上的载波频偏经典估计算法实现，和估计出来之后进行补偿然后解调，统计误码率(QPSK frequency offset error data MSE SNR)

基于接收信号强度的KNN室内定位算法，还有测试数据。适合初学者参考(KNN indoor positioning algorithm based on the received signal strength, as well as test data. For beginners)

BPSK在OFDM系统不同信道下的误码率比较(This is a Script for computing the BER for BPSK in OFDM modulation in the AWGN channel.)

说明：  产生正弦信号时域波形及频谱，并通过希尔伯特滤波器。其中希尔伯特滤波器有两种产生方式，一是使用MATLAB自带的FDAtool；二是程序编写。(The time-domain waveform and spectrum of sinusoidal signal are generated and passed through Hilbert filter. There are two ways to generate Hilbert filter, one is to use FDAtool in MATLAB, the other is to write programs.)

重点研究了全数字QAM接收机中的两个关键技术——符号同步和信道盲均衡。研究Gardner定时误差检测算法，盲均衡方面，重点研究了CMA及其改进算法，采用MMA算法和DD-LMS算法联合均衡 (Focuses on the all-digital QAM receiver in the two key technologies- the symbol synchronization and channel blind equalization. Research Gardner timing error detection algorithm, blind equalization, the focus of the CMA and its improved algorithm, using the MMA algorithm and the DD-LMS algorithm for joint equalization)

说明：  利用伪随机序列作为发送信号，经过信道，产生了频偏和相位偏移，利用数字锁相环的原理实现对信号的频率估计和相位估计，实现信号的载波同步。(The frequency offset and phase offset are generated by using pseudo-random sequence as the transmitting signal through the channel. The frequency estimation and phase estimation of the signal are realized by using the principle of digital phase-locked loop, and the carrier synchronization of the signal is realized.)

基于OPNET的卫星通信程序，为Opnet网络仿真书籍的实例(based satellite communications procedures for Opnet Network Simulation examples of books)

两种非参数估计方法 核估计 局部线性估计(kernel smoothing local constant regression )

说明：  用Q-Learning实现中继选择，选择最佳中继进行通信传输(Realization of Relay Selection with Q-Learning)

一种轻便高效的数据格式，平台无关、语言无关、可扩展，可用于通讯协议和数据存储等领域。完整的编译工程。(A portable and efficient data format, platform-independent, language-independent, scalable, can be used in communication protocols and data storage and other fields. Complete compilation engineering.)