CSMA_CA

This toolbox is used to develop software defined radio for GPS receiver

a document wich explain spectral null codes

说明：  用于TRL去嵌套，得到待测件真实的S参数。(It is used for TRL de nesting to get the real s parameters of the parts to be tested.)

matlab code matlab code matlab code matlab code matlab code

OFDM+信道估计（DFT）单一文档，超级详细，对理解OFDM很有帮助，同时有助于了解如何对信道估计进行仿真(OFDM+ channel estimation (DFT) which is a single document, super-detailed, very helpful in understanding the OFDM ，at the same time help to understand how to channel estimation simulation)

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)

Comunicacion serial con la computadora para el PIC.

说明：  采用Jakes模型的瑞利信道仿真matlab程序(Rayleigh Channel Simulation matlab Program Using Jakes Model)

ldpc编码，完整的编解码过程，并有多个编码实例(LDPC codes, the complete codec process and a number of coding examples)

说明：  对舰载 HFSWR（高频地波雷达）的阵列误差进行数学建模，通过 MATLAB 仿真来分析阵列误差对两种阵列信号处理算法的影响，并在此基础上以幅相误差为例研究了误差校正算法。(Construct the mathematical modeling of array error, and to analyze the influence of array error on the array signal processing algorithm. Based on this, the error calibration algorithm is studied by taking the amplitude and phase error as an example)