BPSK

Paper on hetrogenous network

无线网络中分集合并，包含原理，流程图，仿真图，源代码(Cooperative Diversity in Wireless Networks)

HART Communication Foundation - Common Tables Specification

this is a paper for pcf beam splitter!

说明：  这是最新的卫星通信基础理论的Matlab仿真实现，pcma以及信号衰减和延迟的仿真。尽管不是我本人原创，但比较都经典。文件为*.m格式 (This is the latest in satellite communications theoretical basis Matlab Simulation, pcma and signal attenuation and delay in the simulation. Although it was not my original, but more are classics. M*. document format)

在TOA测距的基础上，提出了一种三维无线传感器网络节点定位算法，并对其性能进行了分析，给出了算法的时间同步误差和定位误差。最后在现有仿真平台OMNET++的基础上构建三维仿真模块，对算法进行了仿真实现，给出了该算法的定位精度和覆盖率(This paper proposes one three-dimensional localization algorithm based on TOA distance measurement and analyzed the performance of the algorithm calculated time synchronization error and localization error. Finally it constructed three-dimensional simulation modules based on OMNET++ and implemented the algorithm educed the localization precision and coverage.)

Final Project Proposal: Design Smart Parking System Based on WSN Using Delay Efficient Distributed Data Aggregation Algorithm

AF，DF，CC,三种基本协作方式仿真程序(Simulation of three basic collaborative approach)

重点研究 了低信噪比﹑多径瑞利衰落信道条件下，基于高阶累积量的OFDM信号盲识别技 术。提出了利用奇数阶累积量区分OFDM信号与单载波信号的方法，并对基于三 阶和五阶累积量的算法进行了仿真分析。 (﹑ Focus on the low SNR multipath Rayleigh fading channel conditions, based on cumulant OFDM signal blind identification technology. Made a distinction between the use of odd-order cumulants single-carrier OFDM signal with the signal approach, and based on the cumulative amount of third-order and fifth-order algorithm for the simulation.)

One issue with underwater sensors is how to efficiently transfer large amounts of data collected by the node to an interrogating platform such as an underwater vehicle. It is often impractical to make a physical connection between the node and the vehicle which suggests an acoustic or optical wireless solution. For large amounts of data, the high bandwidth of underwater optical wireless is an advantage. A small, low-cost platform to demonstrate the potential of an optical wireless communications interface for underwater sensor nodes is demonstrated. To enhance the reliability and robustness of the optical wireless communication digital signal processing and error correction techniques are used. The system was tested in 3 and 7.7 meter tanks at 5 Mbps with the turbidity of the water controlled by the addition of Maalox.