基于粒子滤波的大气激光OFDM时变信道半盲估计
Particle filtering based semi-blind estimation for OFDM time-varying channels
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摘要: 为了有效改善大气激光正交频分复用通信系统接收端的符号检测性能,采用现有的混合粒子滤波算法对大气激光正交频分复用时变信道进行半盲估计,并进行了理论分析与实验验证。与传统的基于导频的时变信道估计方法相比,该方法可有效改善接收端的符号检测性能,并通过MATLAB仿真结果验证了该方法的有效性。结果表明,在相同的信噪比下.所用方法可平均减小接收端系统的误比特率接近一个数量级。Abstract: In order to improve the symbol detection performance of an atmospheric laser optical frequency division multiplexing(OFDM) receiver, semi-blind estimation was carried out in an atmospheric laser OFDM time-varying channel by means of a mixed particle filtering algorithm. Comparing with the existing time-varying channel estimation based on pilot, this method can effectively improve symbol detection performance at receiver. Finally, MATLAB simulation proved the effectiveness of this new method. Obtained results show that this method can decrease bit error ratio to one magnitude at receiver under the same signal-to-noise ratio compared to other methods.
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