基于模型的无人机信道编码算法设计与实现

Design and Implementation of Model-Based Channel Coding Algorithm for Unmanned Aerial Vehicle

中文关键词:  基于模型的方法  正交相移调制  级联编码  循环冗余校验码  加扰

英文关键词:model based methods  QPSK  concatenated code  CRC  scrambling

中文摘要:

      为了改善无人机测控系统数据传输的抗干扰性能，并提高算法的可实现性，提出了一种基于模型的信道级联编码调制算法。算法在正交相移调制（Quadrature Phase Shift Keying,QPSK）系统中采用循环冗余校验码（Cyclic Redundancy Check,CRC）+Reed-Solomon（20,10）码+交织（20,10）+数据加扰+卷积码（2,1,7）的串行级联编码，并在编码过程中加入数据加扰技术。为了研究算法设计的有效性，在MATLAB/Simulink中搭建了采用上述级联信道编码的QPSK系统仿真模型。仿真结果显示系统在高斯白噪声（Additive White Gaussian Noise,AWGN）信道中有效降低了传输误码率，误码率在1×10^-4数量级下，系统编码增益达到5 dB。系统模型能够直接部署在两台ADRV9361-Z7035上，实现两台设备的正常通信，无须再进行硬件代码编写，将其应用在无人机测控系统中，具有一定的工程实现价值。

英文摘要:

      In order to improve the anti-interference performance of unmanned aerial vehicle (UAV) measurement and control system and enhance the realization of the algorithm,a model-based channel coding and modulation algorithm is introduced.The algorithm adopts serial concatenated coding of cyclic redundancy check (CRC)+Reed Solomon (20,10) code+interleaving (20,10)+data scrambling+convolutional code (2,1,7) in quadrature phase shift keying (QPSK) system,and adds data scrambling technology in the coding process.In order to study the effectiveness of algorithm,a QPSK system simulation model using the above-mentioned concatenated code is built in MATLAB/Simulink.The results demonstrated that the system can reduce the bit error rate in additive white Gaussian noise(AWGN) effectively.The signal to noise ratio gain reaches 5 dB when the system BER is in the order of 1×10^-4.Moreover,the system can be directly deployed on ADRV9361-Z7035 without hardware coding to realize wireless communication between two transceivers.The system in UAV measurement is applied and control system has certain engineering realization value.