基于参数模型的双谱估计在FSK信号检测中的应用

为克服低信噪比情况下的FSK信号检测问题,我们利用双谱能很好地抑制噪声,并且能充分地获取了隐含在数据中的信息的特性,采用了基于参数模型的双谱估计算法;同时为了更好地满足实时性以及数据流量的要求,在实际中采用了双谱估计与功率谱算法的双通道检测系统.仿真结果表明采用双谱估计算法能很好地解决小信噪比条件下的车载FSK检测问题,检测128路信号的处理时间为0.4秒之内,检测精度达到0.1 Hz.目前该技术现已成功运用到相关检测设备中.

The Application of Bispectrum Based on the Parameter Model to FSK Signal Detection

In order to work out a correct solution to the problem which to detecte the FSK signal when the SNR is low, we use bispectrum based on the parameter model, which can choke the noise and gain the characters. We use the two channels with bispectrum and energy spectral anaysis method for signal detection. The simulation results show that this method works out a correct solution to the problem on the low SNR.The time of signal detection for 128 ways is below 0. 4 seconds, and the precision is 0. 1 Hz. This technology has been used in some correlative equipment.