{"title":"基于MIMO-OFDM的无线局域网MMSE均衡器的硬件和软件实现","authors":"O. Paker, K. van Berkel, K. Moerman","doi":"10.1109/SIPS.2005.1579829","DOIUrl":null,"url":null,"abstract":"Communication over a MIMO (multiple-input-multiple-output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a general-purpose microprocessor (ARM926EJ-S); (2) a traditional general purpose DSP (RD16024); (3) an embedded vector processor (EVP/sub 16/); and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multi-standard WLAN baseband implementation, EVP/sub 16/ is the only feasible solution among the four studied.","PeriodicalId":436123,"journal":{"name":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN\",\"authors\":\"O. Paker, K. van Berkel, K. Moerman\",\"doi\":\"10.1109/SIPS.2005.1579829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Communication over a MIMO (multiple-input-multiple-output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a general-purpose microprocessor (ARM926EJ-S); (2) a traditional general purpose DSP (RD16024); (3) an embedded vector processor (EVP/sub 16/); and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multi-standard WLAN baseband implementation, EVP/sub 16/ is the only feasible solution among the four studied.\",\"PeriodicalId\":436123,\"journal\":{\"name\":\"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPS.2005.1579829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2005.1579829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN
Communication over a MIMO (multiple-input-multiple-output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a general-purpose microprocessor (ARM926EJ-S); (2) a traditional general purpose DSP (RD16024); (3) an embedded vector processor (EVP/sub 16/); and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multi-standard WLAN baseband implementation, EVP/sub 16/ is the only feasible solution among the four studied.