Wimax（IEEE802.16e）协议中文版

使用QPSK调制方式的简单的通信系统，包含载波同步位同步等模块(a simple communication system, using QPSK modulation, including bit synchronization and carrier synchronization)

含有已知信道下BPSK,QPSK,8PSK,16QAM的MLSE均衡，MMSE（频域）均衡SER,BER性能的对比。(SER,BER performance coparing of BPSK,QPSK.8PSK,16QAM modulation of block transmission in MMSE or MLSE equalizer on known channel.)

SIGNAL DETECTION FOR SPECTRUM SENSING Spectrum sensing is a critical functionality in cognitive radio communications as it must be performed before allowing unlicensed users to access a vacant licensed band. Energy detector is also known as radiometer and it is most common method of spectrum sensing because of its low computational and implementation complexities. The coherent detector, also referred to as a matched filter, can improve detection performance if the primary transmitted signal, s, is deterministic and known a priori.

In recent years, the number of portable mobile terminal users is increasing with improvement of the wireless communication environment. In addition, mobile multimedia services also bring the increase of wireless traffic and lack of spectrum resources. As a technique for efficient spectrum use, spectrum sharing receives much attention. It dynamically assigns a spectrum channel from a larger area network such as WiMAX to smaller area networks such as WiFi-based wireless LANs and achieves to increase the total wireless communication capacity of this area. In a case where all providers are cooperative, the spectrum sharing can be realized easily and improve user throughput in average. In another case where providers are not cooperative, some spectrum trading methods based on auction theory had been proposed.

阵列信号处理中的自适应波束形成技术，采用线性最小方差准则，加切比雪夫窗处理。(Adaptive beamforming in array signal processing is generated by LCMV criterion and Chebyshev window.)

运用labview开发环境，实现串口通讯，接受串口发送接收的数据(Development environment using labview, serial communications, sending and receiving serial data received )

There are some trials for DOA estimation by applying the wavelet transform method into several sub bands MUSIC and CYCLIC MUSIC scenarios

水声探测技术中时反结合mimo提高探测性能的matlab仿真(Anti combined mimo method to improve detection performance underwater acoustic detection technologies.)

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说明：  里面包含四种情境的信道估计模型 比较了他们的优缺点(There are four scenarios in the channel estimation model to compare their advantages and disadvantages)