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机构地区:[1]广州军区联勤部第四五八医院信息科,广东广州510062 [2]海军工程大学电子工程学院,湖北武汉430033
出 处:《通信技术》2015年第7期795-798,共4页Communications Technology
摘 要:针对采用卡尔曼滤波或线性预测方案进行信号检测时,需要已知信道模型参数或预先估计信道参数这一局限性问题,提出一种新型的瑞利信道下的盲检测器。盲检测器通过设计粒子学习算法,能够在未知的信道衰落模型参数和噪声模型参数条件下检测信号。为了提升检测器的性能,采用信号延迟判决技术。仿真结果表明,盲检测器性能优异,已接近在已知信道模型参数下检测器的性能。该盲检测器易于并行设计实现,具有很高的实用价值。Aiming at the limitation that the channel model parameters need to be known or estimated beforehand when adopting Kalman filtering or linear prediction to detect signals, a novel blind detector over Rayleigh fiat-fading channels is proposed. The detector can detect the signals through particle learning algorithm and with unknown parameters of the fading channel model and noisy model. Meanwhile, decision delay of signals is adopted to improve the performance of the detector. Simulation results show that the blind detector enjoys excellent performance, quite close to that of the detector with known channel model parameters. This blind detector is liable to concurrent design implementation and of fairly high applicable value.
分 类 号:TN911.7[电子电信—通信与信息系统]
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