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LTE链路和系统仿真 LTE链路和系统仿真 LTE链路和系统仿真(Link and system simulation LTE LTE LTE link link and system simulation and system simulation)

分别就正交频分复用OFDM的串并转换、编码、ifft变换、插入循环前缀和后缀、加窗及逆变换等进行仿真分析。(Respectively orthogonal frequency division multiplexing (OFDM) and the string conversion, encoding, ifft transform, cyclic prefix and suffix insertion, the inverse transform, windowed and simulation analysis.)

卡尔曼数据滤波,将文本数据进行很好的滤波，实践有效……………………(Kalman filter)

复旦大学matlab课程，Fourier transforms的代码以及教学课件(Fudan University matlab course, Fourier transforms of the code, and courseware)

说明：  对压制干扰中噪声调频干扰的matlab仿真(Matlab simulation of suppression interference, including RF noise interference, noise AM, FM, phase modulation interference)

3D Space Coordinate Transformations

逆合成孔径雷达成像，目标直线运动，估计速度后补偿成像，效果很好(Inverse synthetic aperture radar imaging, target linear motion, after an estimated rate of compensation for imaging with good results)

浅层海洋环境由信源组成声源，海洋形成信道，和水听器阵列组成接收器。在这个传播模型中，信源，信道和接收信号这三者，通常能知二求一，具体应用诸如利用海洋环境参数和接收到的信号来定位声源，或者通过计算发射信号和接收信号之间的差异，反演海洋环境参数。 而在接收器方面，我们通过设置各向同性的水听器阵列。通过算法和处理器，我们便能量化模型，传统是处理器主要基于接收信号是高斯信号，而海洋中存在着大量的有色噪声。本课题的研究目的便是在前人的基础上，在海洋声层析成像的背景下，在信源与接收器阵列之间，引入信号的高阶统计量，对非高斯过程的水下信号源进行定位，并提高算法的性能和准确性。 利用非高斯过程的高阶累积量不恒为零的特点，滤去高斯有色噪声对信号的影响，其又包含了信号的相位信息，便可以极大的优化匹配场处理过程的性能和准确性。(After receiving signals based on high order cumulant matched field processor after matched field localization, the positioning effect will be more accurate, sidelobe suppression more effectively, and compared with other traditional matched field processor in low SNR environment, it can position more accurately.)

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

用matlab实现的boosts开关变换器的仿真图，一共四幅图，对于学习非线性电路的同学有用(Matlab achieved by switching converter boosts the simulation map, a total of four maps, non-linear circuit for the students to learn useful)