{"title":"部分频带干扰下衰落信道中噪声归一化组合FFH/MFSK接收机的符号误差概率分析","authors":"Jian Zheng, Yi-Sheng Zhu, Li-ping Zhu","doi":"10.1109/SIPS.2007.4387576","DOIUrl":null,"url":null,"abstract":"A new analysis method for the error performance analysis of Nakagami-fading channels is proposed. Two forms of the bit error rate (BER) expressions are derived for a noncoherent fast frequency-hopped M-ary orthogonal frequency-shift-keying (FFH/MFSK) spread spectrum (SS) receiver over frequency non-selective slow Nakagami-fading channels. The FFH/MFSK system employs noise-normalization combining in the presence of partial-band interference (PBI) and additive white Gaussian noise (AWGN). The probability density function (pdf) and characteristics function (CF) based approaches are used for analysis of the error performance. Numerical results show the effects of arbitrarily values of fading parameter and diversity level on system performance.","PeriodicalId":93225,"journal":{"name":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","volume":"48 1","pages":"377-381"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Symbol Error Probability Analysis of an FFH/MFSK Receiver with Noise-Normalization Combining in a Fading Channel with Partial-Band Jamming\",\"authors\":\"Jian Zheng, Yi-Sheng Zhu, Li-ping Zhu\",\"doi\":\"10.1109/SIPS.2007.4387576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new analysis method for the error performance analysis of Nakagami-fading channels is proposed. Two forms of the bit error rate (BER) expressions are derived for a noncoherent fast frequency-hopped M-ary orthogonal frequency-shift-keying (FFH/MFSK) spread spectrum (SS) receiver over frequency non-selective slow Nakagami-fading channels. The FFH/MFSK system employs noise-normalization combining in the presence of partial-band interference (PBI) and additive white Gaussian noise (AWGN). The probability density function (pdf) and characteristics function (CF) based approaches are used for analysis of the error performance. Numerical results show the effects of arbitrarily values of fading parameter and diversity level on system performance.\",\"PeriodicalId\":93225,\"journal\":{\"name\":\"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)\",\"volume\":\"48 1\",\"pages\":\"377-381\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPS.2007.4387576\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2007.4387576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Symbol Error Probability Analysis of an FFH/MFSK Receiver with Noise-Normalization Combining in a Fading Channel with Partial-Band Jamming
A new analysis method for the error performance analysis of Nakagami-fading channels is proposed. Two forms of the bit error rate (BER) expressions are derived for a noncoherent fast frequency-hopped M-ary orthogonal frequency-shift-keying (FFH/MFSK) spread spectrum (SS) receiver over frequency non-selective slow Nakagami-fading channels. The FFH/MFSK system employs noise-normalization combining in the presence of partial-band interference (PBI) and additive white Gaussian noise (AWGN). The probability density function (pdf) and characteristics function (CF) based approaches are used for analysis of the error performance. Numerical results show the effects of arbitrarily values of fading parameter and diversity level on system performance.
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