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非理想NNC-DFH接收机抗部分频带干扰性能分析
引用本文:屈晓旭,娄景艺,高俊. 非理想NNC-DFH接收机抗部分频带干扰性能分析[J]. 浙江大学学报(工学版), 2012, 0(9): 1560-1564,1598
作者姓名:屈晓旭  娄景艺  高俊
作者单位:海军工程大学电子工程学院
基金项目:国家自然科学基金资助项目(60901069)
摘    要:为改善差分跳频系统的抗部分频带干扰性能,提出一种噪声归一化合并差分跳频接收机模型.采用矩生成函数法推导了非理想噪声功率估计条件下系统误符号率的联合上界.将信道建模为瑞利衰落信道,同时考虑了加性背景热噪声的影响.数值和仿真结果验证了理论分析的正确性.研究结果表明:在噪声估计不存在严重偏差时(估计误差因子满足0.1<λ<3.0),噪声归一化合并差分跳频接收机在最坏部分频带干扰下的性能优于乘积合并和线性合并差分跳频接收机,且当噪声估计值略低于理想估计值时(0.2<λ<0.6),系统误符号性能优于理想噪声估计条件下的误符号性能.

关 键 词:差分跳频  噪声归一化  非理想噪声估计  部分频带干扰  序列检测  矩生成函数

Performance analysis of non-ideal noise-normalization combining differential frequency hopping receiver in partial-band jamming
QU Xiao-xu,LOU Jing-yi,GAO Jun. Performance analysis of non-ideal noise-normalization combining differential frequency hopping receiver in partial-band jamming[J]. Journal of Zhejiang University(Engineering Science), 2012, 0(9): 1560-1564,1598
Authors:QU Xiao-xu  LOU Jing-yi  GAO Jun
Affiliation:(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033,China)
Abstract:A differential frequency hopping(DFH) receiver utilizing noise-normalization combining(NNC) was proposed to improve its performance of rejecting partial-band noise jamming(PBNJ).Symbol error rate(SER) upper bound of this receiver under PBNJ was analyzed using moment generating function method with non-ideal noise power estimation considered.DFH signal was assumed Rayleigh faded and corrupted by additive background thermal noise.The theoretical analysis was validated by the numerical and simulation results.It is shown that when the noise power estimation error is not great(0.1<λ<3.0,λ is the estimation error factor),NNC-DFH receiver is superior to the product combining DFH receiver and the linear combing DFH receiver when they are jammed by the worst-case PBNJ.System with noise power a little lower estimated(0.2<λ<0.6) outperforms that with ideal noise power estimation.
Keywords:differential frequency hopping  noise-normalization combining  non-ideal noise power estimation  partial-band jamming  sequential detection  moment generating function
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