多普勒雷达高速数据传输的迭代合并均衡算法  

Iterative merge equalization algorithm for high speed data transmission in Doppler radar

作　　者：陈曦 边立峰 尤宏宇 叶勇 CHEN Xi;BIAN Lifeng;YOU Hongyu;YE Yong(Daxing'anling Meteorological Bureau,Jiagedaqi 165099,China;Meteorological Information Center of Heilongjiang Province,Harbin 150030,China)

机构地区：[1]大兴安岭地区气象局,黑龙江加格达奇165099 [2]黑龙江省气象数据中心,黑龙江哈尔滨150030

出　　处：《微电子学与计算机》2024年第6期49-56,共8页Microelectronics & Computer

摘　　要：为解决多普勒雷达高速数据在传输过程中存在的码间串扰、拥塞风险高等问题,本文设计了一种迭代合并均衡算法。通过模拟多普勒雷达数据的高速传输过程,确定传输信道具有衰落与时变特性,存在误码、拥塞等现象。然后,装设数据传输迭代合并均衡器,根据传输信道的迭代估计结果,确定均衡器的启动条件。在合并并重新分配传输信道资源后,通过滤波实现码间干扰的补偿,再通过多次迭代完成数据传输的均衡处理任务。测试结果表明:与传统均衡算法相比,在应用本文算法后,多普勒雷达高速数据传输的衰落量降低了0.7 GB,信道间接收功率均衡度提高了0.9,传输拥塞概率的数值由2.05%下降至0.10%。To address the issues of inter symbol interference and high congestion risk during the transmission of highspeed Doppler radar data,this study designed an iterative merge equalization algorithm.This article simulated the highspeed transmission process of Doppler radar data to determine that the transmission channel had fading and time-varying characteristics,and there were phenomena such as errors and congestion.Then,after installing the data transmission iteration merging equalizer,the starting conditions of the equalizer were determined based on the iterative estimation results of the transmission channel.After merging and reallocating transmission channel resources,compensation for inter symbol interference was achieved through filtering,and the balancing task of data transmission was completed through multiple iterations.The test results show that compared with the traditional equalization algorithm,after the application of the algorithm in this paper,the fading amount of Doppler radar high-speed data transmission is reduced by 0.7 GB,the received power equalization degree between channels is improved by 0.9,and the transmission congestion probability is reduced from 2.05%to 0.10%.

关 键 词：多普勒雷达 数据传输 迭代合并 资源分配 码间干扰 信道均衡 

分 类 号：TN911[电子电信—通信与信息系统]