Pub Date : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00018
Hongyuan Li, Zhenghong Yu, Wanjun Zheng, Haijie Feng, Ziqian Ma
In this paper, a novel memory effective algorithm for decoding Low-Density Parity-Check (LDPC) codes is proposed with a view to reduce the implementation complexity and hardware resources. The algorithm, called check node self-update (CNSU) algorithm, is based on layered normalized min-sum (LNMS) decoding algorithm while utilizing iteration parallel techniques to integrate both variable nodes (VNs) message and a-posterior probability message into the check nodes (CNs) message, which eliminates memories of both the variable node and the a-posterior probability message as well as updating module of a-posterior probability message in CNs unit. Based on the proposed CNSU algorithm, design of partially parallel decoder architecture and serial simulations followed by implementation on the Stratix II EP2S180 FPGA are presented. The results show that the proposed algorithm significantly reduces hardware memory resources and chip area while keeping the benefit of bit-error-rate (BER) performance and speeding up of convergence with LNMS.
本文从降低低密度奇偶校验码译码复杂度和硬件资源的角度出发，提出了一种新的低密度奇偶校验码译码算法。该算法基于分层归一化最小和(LNMS)译码算法，利用迭代并行技术将可变节点(VNs)信息和后验概率信息整合到校验节点(CNs)信息中，消除了可变节点和后验概率信息的记忆以及CNs单元中后验概率信息的更新模块，称为校验节点自更新(CNSU)算法。基于所提出的CNSU算法，设计了部分并行解码器架构，并进行了串行仿真，最后在Stratix II EP2S180 FPGA上实现。结果表明，该算法在保持误码率性能优势的同时，显著减少了硬件内存资源和芯片面积，加快了与LNMS的收敛速度。
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Pub Date : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00057
Yang Zhao, Mingkun Ye, Jun Tang, Lin Chen
In traditional radar-communication electronic warfare, independent radar and communication systems can seriously affect the performance of combat platforms due to spectrum overlap. A joint beam-forming algorithm which can be used to transmit and receive radar and communication signals at the same time is proposed to solve this problem. In this approach, the power for the radar and communication are optimally allocated under the signal-to-interference-plus-noise-ratio (SINR) constraint of communication firstly. Then combined with the linearly constrained minimum variance (LCMV) algorithm, the joint beam-forming is optimized using Lagrange multiplier method. The simulation results show that the proposed method can obtain a higher SINR of radar echo and suppress the jamming effectively in other directions.
{"title":"A Novel Radar-communication Joint Beam-forming Based on Optimal SINR","authors":"Yang Zhao, Mingkun Ye, Jun Tang, Lin Chen","doi":"10.1109/ISCEIC53685.2021.00057","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00057","url":null,"abstract":"In traditional radar-communication electronic warfare, independent radar and communication systems can seriously affect the performance of combat platforms due to spectrum overlap. A joint beam-forming algorithm which can be used to transmit and receive radar and communication signals at the same time is proposed to solve this problem. In this approach, the power for the radar and communication are optimally allocated under the signal-to-interference-plus-noise-ratio (SINR) constraint of communication firstly. Then combined with the linearly constrained minimum variance (LCMV) algorithm, the joint beam-forming is optimized using Lagrange multiplier method. The simulation results show that the proposed method can obtain a higher SINR of radar echo and suppress the jamming effectively in other directions.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115087852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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