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基于置信度的S模式信号随机多位纠错技术 被引量:1

Confidence-based Brute Force Technique with Random Errors for Mode S Reply
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摘要 针对现有纠错技术只能对少量随机错误或突发错误进行纠错的不足,提出了一种基于置信度的随机多位纠错方法。该方法在准确进行置信度判断的基础上,通过缩短循环冗余校验(CRC)处理时间或增加并行运算能力以增加纠错位数。同时给出了可运用于工程实际的保守技术和强力技术的联合纠错处理流程。通过解码纠错实验,统计结果表明该置信度判定法则的准确性为98.24%,通过图形处理器(GPU)强力纠错可实现高达83.37%的解码率,通过现场可编程门阵列(FPGA)强力纠错可实现73.66%的解码率,较现有强力纠错技术的纠错能力有较大提高,可增强对航空器监视的连续性。 For the shortage of the existing error correction technique which can only correct few random errors or burst errors,a correction method based on bit and confidence declaration is proposed to correct more ran-dom errors. This method can increase the number of error bits that can be corrected with shortening the Cy-clic Redundancy Check( CRC) processing time or increasing the parallel computing power. And a joint error correction process with conservative technique and brute force technique is given for engineering application. Through error correction experiment,the statistical results show that the accuracy of the bit and confidence declaration rule reaches 98. 24%,the decoding rate of mode S reply with Graphics Processing Unit(GPU) brute correction 83. 37%,and the decoding rate with Field Programmable Gate Array(FPGA) brute correc-tion 73. 66%. The error correction capability of this method has been improved greatly compared with that of the existing brute force technique,which can enhance the surveillance continuity for aircrafts.
出处 《电讯技术》 北大核心 2015年第9期1005-1009,共5页 Telecommunication Engineering
基金 国家自然科学基金资助项目(61032001)~~
关键词 S模式应答机 强力技术 CRC校验 随机多位误码 GPU纠错技术 置信度判断 mode S responder brute force technique cyclic redundancy check random error GPU correcting technique confidence declaration
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