Hongyuan Li, Zhenghong Yu, Wanjun Zheng, Haijie Feng, Ziqian Ma
{"title":"FPGA Implementation for LDPC Decoders Using A Novel Memory Effective Decoding Algorithm","authors":"Hongyuan Li, Zhenghong Yu, Wanjun Zheng, Haijie Feng, Ziqian Ma","doi":"10.1109/ISCEIC53685.2021.00018","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00018","url":null,"abstract":"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.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"53 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":"127841577","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}
{"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}