OFDM

说明：  can总线 多帧传输 接收发送(Can bus multi-frame transmission receiving and sending)

说明：  仿真MIMO信道容量与信噪比和发收天线数目的关系，(Simulated MIMO Channel Capacity)

说明：  基于宏小区及微小区MIMO信道模型，比较了MIMO信道在两种传输环境中的空间相关特性，通过数值分 析方法得到了两类信道空间相关性随发送端、接收端天线阵列的分布而变化的特征曲线，并分析比较了信道参数， 即到达角的角度扩展，对空间相关性的影响。(The space correlation is analyzed in different propagation conditions including the MIMO macro-cell and micro-cell applications. The characteristics curves describing the space correlation versus the distance of antennas are obtained according to the numerical analysis. The effect of the spread of the angle of arrival on the space correlation is also investigated. )

采用循环前缀的OFDM信道盲估计算法,经典的忙估计(Cyclic prefix OFDM blind channel estimation algorithm)

主要 对无线定位TDOA CHAN算法以及TAYLOR算法进行误码仿真并且仿真了一种两算法相结合的算法 并对误码进行比较(The content is mainly to simulate Chan Algorithm and Taylor Algorithm ,then compare their error performance.Based on them,A new Algorithm combining the two type of Algorithm is also proposed.)

说明：  粒子群优化算法工具箱，包含完整的参数优化子程序(Particle swarm optimization algorithm toolbox, including a complete parameter optimization subroutine)

SPMS deal 模块，SPMS deal 模——(SPMS deal 模块)

QPSK的调制和解调，解调部分包括时钟和载波的同步等(QPSK modulation and demodulation, the demodulation section includes a clock and carrier synchronization)

采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。(The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate.)

Rao Blackwellised Particle Filtering for Dynamic Conditionally Gaussian Models基于高斯模型的rbpf（粒子滤波器）的matlab程序(Rao Blackwellised Particle Filtering for Dynamic Conditionally Gaussian Models based on the Gaussian model The rbpf (particulate filter) Matlab procedures)