RFID-1

这是单幅图片中的椭圆目标与方向位置检测matlab 程序(ellipse detection and position detection)

只采用lcmv算法的特性，运用在gps系统(Lcmv algorithm using only the features, the use of the gps system)

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)

栅格地图创建，可以根据需要更改地图大小和障碍物的数量(Raster map creation, you can change the size of the map and the number of obstacles as needed)

5G PDSCH信道吞吐量matlab仿真，包括PDSCH信道产生及解调(NewRadioPDSCHThroughputExample)

异步电机滑模SVPWM矢量控制，仿真可靠，波形稳定，(Induction motor vector control, waveform stability)

说明：  带时延的系统模型，模糊pid控制，参数已调好，可直接运行(System model with time delay, fuzzy PID control, parameters have been adjusted and can be operated directly)

数字信号处理——基于计算机的方法（第四版）（英文改编版）光盘内容(Digital signal processing- computer-based methods (fourth edition) (English adaptation) CD-ROM content)

基于BD-SVD分解的下行CoMP预编码算法仿真(Based on the BD-SVD decomposition of the downlink the CoMP pre-coding algorithm simulation)

说明：  传统的高分辨波达方向（DOA）估计算法中，一般都假设信号位于远场，此时入射到阵列的信源波前为平面波前，空间信号的定位参数可由DOA来确定。然而，当信源处于阵列的Fresnel区域时，信号波前需用球面波来描述，每个信源的定位信息要用DOA和距离联合描述。因此，远场情况下的一些线性理论推导已不再成立，传统的远场算法的估计不再适用(In traditional high resolution direction of arrival (DOA) estimation algorithms, it is generally assumed that the signal is located in the far field, where the source wavefront incident to the array is plane wavefront, and the location parameters of the spatial signal can be determined by DOA. However, when the source is in the Fresnel region of the array, the wavefront of the signal needs to be described by spherical wave, and the location information of each source needs to be described by DOA and distance. Therefore, some linear theoretical deductions are no longer valid in the far-field case, and the estimation of the traditional far-field algorithm is no longer applicable.)