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Multiple input multiple output techniques combined with orthogonal frequency division multiplexing (MIMO-OFDM) provide a promising approach for wireless systems. However, a serious drawback of the OFDM system is the high peak-toaverage power ratio (PAPR), which may severely affect the power efficiency of RF power amplifiers. In this paper, we propose a simple method to reduce the PAPR of MIMO-OFDM signals based on the use of unused subcarriers. Instead of processing the signals at each transmitter separately, a peak cancelling signal is generated at one antenna and is then applied to all the others with only simple modifications. Simulation has shown that a minimum 2 dB reduction in PAPR can be achieved for all transmit signals using this approach. As the signal processing is nearly all done at a single transmitter, repetition of the operations at each transmitter is avoided, and therefore the overall cost of the system can be significantly reduced.

说明：  ofdm信道估计，采用了LS算法，DFT进行插值(OFDM channel estimation adopts LS algorithm and DFT interpolation)

5 System design and signal processing for OFDM-based wireless communication systems.pdf

关于nrf24L01的开发设计资料，内含源码分析，可做为设计2.4G无线通信的开发参考(About nrf24L01 development and design information, containing source code analysis can be used as design 2.4G wireless communication development reference)

ofdm最大似然估计 加入循环前缀 进行信道估计同步算法(ofdm Maximum Likelihood Estimation of cyclic prefix for channel estimation synchronization algorithm)

PLC动态库 vb编程 支持s7-1200(PLC Dynamic Library Support s7-1200)

Two different types of measurement matrices: predefined and random measurement matrices were studied and tested using MATLAB. The speech signal was reconstructed without losing important information in order to achieve an increase in the data rates. After multiple simulations

对语音信号进行加噪，求它的功率谱，降噪处理(Adding noise to speech signal and reducing noise)

说明：  qpsk的调制解调，使用simulink实现(QPSK modulation and demodulation, using Simulink to achieve)

This project demonstrates OFDM with adaptive modulation applied to Multiple-Input Multiple- Output (MIMO) systems. The analysis and simulation is considered in two stages. The rst stage involves the application of a variable-rate variable-power MQAM technique for a Single-Input Single-Output (SISO) OFDM system. The second stage applies adaptive modulation to a general MIMO system by making use of the Singular Value Decomposition to separate the MIMO channel into parallel subchannels.