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LFM线性调频波的MATLAB仿真 利用matlab软件设计匹配滤波器。具体包括： 1）：阐述脉冲压缩（匹配滤波）的基本原理； 2）：输入信号为线性调频信号，存在的噪声信号为白噪声； 3）：通过脉冲压缩处理，讨论输出信噪比的改善。 (The the LFM chirp wave MATLAB simulation using matlab software design matched filter. Specifically including: 1): elaborated pulse compression (the basic principle of the matched filter) 2): the input signal is a chirp signal, the noise present in the signal is white noise 3): by a pulse compression processing discussed output SNR improved.)

Matlab仿真实现LDPC算法。BPSK调制，适用于AWGN信道(Matlab simulation implements the LDPC algorithm. BPSK modulation, suitable for the AWGN channel)

NOMA系统级仿真，多用户，多径瑞利信道(NOMA System Level Simulation)

Jake s无线通信信道模型仿真的Matlab源程序,采用SOS仿真方法。程序内容包括:时变信道的幅度的实部和虚部,幅度概率密度函数,自相关函数,功率谱密度。(Simulation of Jake s wireless communication channel model Matlab source code, using SOS simulation method. The program includes: the real and imaginary parts of time-varying channel amplitude, amplitude probability density function, autocorrelation function, power spectral density.)

Selective mapping algorithm is proposed to reduce the peak-to-average power ration (PAPR) in MIMO-OFDM system. It is proved that the conjugate symbols on two antennas have the same PAPR property with orthogonal space-time block coded (STBC). By using the characteristic, the computational complexity cost and the side information (SI) is significantly reduced compared with the concurrent SLM algorithm. Simulation results demonstrate that the performance of the proposed algorithm outperforms the conventional concurrent SLM algorithm.

VB的CRC16校验源码，调试成功，程序简单。(The CRC16 checksum VB source code, debugging successful, the program simple.)

说明：  lms基础算法，已经经过测试，可以通过。(LMS basic algorithm has been tested and passed.)

使用 VC++ 调用微软蓝牙 API 函数的示例代码。可以使用 VC++6.0 至 VC++2010 编译代码。(Using VC++ call Microsoft Bluetooth API sample code. You can use VC++6.0 to VC++2010 compiled code.)

波束形成算法是智能天线研究中最核心的内容。波束形成算法根据基于的对象不同可以分为基于方向估计的自适应算法，基于训练信号或者参考信号的方法和基于信号结构的波束形成方法；根据是否需要发射参考信号，分为非盲算法和盲算法。(The beamforming algorithm is the most important content in the research of smart antenna. Based on the beamforming algorithm according to the different objects can be divided into adaptive algorithm based on direction estimation method based on a training signal, or reference signal and signal beam forming method based on structure; according to whether to send the reference signal, divided into non blind algorithms and blind algorithms.)

针对传统线性调频(LFM)信号参数估计算法中复杂的搜索和计算问题，提出了一种不需要参数搜索的快速 LFM信号参数估计算法。该算法先用希尔伯特变换估计LFM信号瞬时相位，再用二次相位函数拟合LFM信号瞬 时相位从而得到初始频率和调频斜率的估计(The traditional linear frequency modulation (LFM) signal parameter estimation algorithms and computational complexity of the search problem, we propose a fast search without LFM signal parameter estimation algorithm. The algorithm first estimated with the Hilbert transform of LFM signal instantaneous phase, and then the second phase of LFM signal instantaneous phase function fitting to obtain the initial estimates of the frequency and chirp rate)