基于自适应谱估计的跳频捕获技术

提出了一种基于谱估计的跳频(FH, Frequency Hopping)信号的捕获方法,建立了自回归自适应谱估计模型和算法,通过计算信号频谱估计了跳频信号的瞬时频率.当频率估计存在偏差时,为了避免错误判决,实现稳健捕获,给出了一种新的捕获逻辑.在高斯白噪声( AWGN, Additive-White Gaussian Noise)环境和瑞利(Rayleigh)衰落环境下,对不同天线阵元数目情况下的捕获性能包括平均捕获时间和误码率进行了数值仿真.仿真结果表明:谱估计算法能快速准确地估计出信号频率,实现跳频信号的快速捕获.

Adaptive spectral estimation based acquisition for frequency hopping signals

A FH(frequency hopping) signal acquisition technology based on frequency estimation was introduced. An adaptive spectral-estimation model was established, and the frequency estimation was implemented by autoregressive and adaptive algorithm. However, for a fading and AWGN (additive-white Gaussian noise) channel, frequency estimation errors might occur. To achieve more accurate and robust acquisition, a new acquisition logic was developed, which would prevent the acquisition scheme from making a wrong decision and leading to the false tracking. The acquisition scheme using multiple antennas was also addressed to combat the fading effect. Numerical results for the probability of the MSB (most significant bit) error and the corresponding mean acquisition time were illustrated for the performance evaluation under unfading and Rayleigh-fading channel conditions. Simulation results indicate that the FH signal frequency can be precisely estimated, and quick acquisition for the frequency-hopping signal is implemented.