{"title":"基于相干因子的改进GHI - LFM算法","authors":"Y. Meng, A. Qing","doi":"10.1109/IWS55252.2022.9977809","DOIUrl":null,"url":null,"abstract":"In this paper, the recently indigenously developed millimeter-wave imaging (MMWI) algoritthm GHI-LFM, namely general holographic imaging (HI) algorithm based on linear frequency modulation (LFM), is further improved by using coherence factor (CF), called GHI-LFM-CF. The new method can suppress the Gibb's effect in k-space, resulting in very clean background. The superior performance is validated by imaging using both synthetic and experimental data of benchmark objects.","PeriodicalId":126964,"journal":{"name":"2022 IEEE MTT-S International Wireless Symposium (IWS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved GHI - LFM Algorithm Based on Coherence Factor\",\"authors\":\"Y. Meng, A. Qing\",\"doi\":\"10.1109/IWS55252.2022.9977809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the recently indigenously developed millimeter-wave imaging (MMWI) algoritthm GHI-LFM, namely general holographic imaging (HI) algorithm based on linear frequency modulation (LFM), is further improved by using coherence factor (CF), called GHI-LFM-CF. The new method can suppress the Gibb's effect in k-space, resulting in very clean background. The superior performance is validated by imaging using both synthetic and experimental data of benchmark objects.\",\"PeriodicalId\":126964,\"journal\":{\"name\":\"2022 IEEE MTT-S International Wireless Symposium (IWS)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE MTT-S International Wireless Symposium (IWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWS55252.2022.9977809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Wireless Symposium (IWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWS55252.2022.9977809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved GHI - LFM Algorithm Based on Coherence Factor
In this paper, the recently indigenously developed millimeter-wave imaging (MMWI) algoritthm GHI-LFM, namely general holographic imaging (HI) algorithm based on linear frequency modulation (LFM), is further improved by using coherence factor (CF), called GHI-LFM-CF. The new method can suppress the Gibb's effect in k-space, resulting in very clean background. The superior performance is validated by imaging using both synthetic and experimental data of benchmark objects.