免疫神经网络用于侦察测向的技术

Direction Detection of Radar Signal Using lmmune Neural Network

利用神经网络适合于做模式分类的特点 ,将测向问题转化为模式识别 ,建立了两级免疫径向基函数 ( RBF)网络进行测向 .基于圆形阵列天线测向的仿真结果表明 ,对于四天线元的情况 ,在信噪比为 1 2 d B时 ,免疫 RBF网络系统的测向误差小于 1°;对于八天线元的情况 ,在信噪比为 8d B时 ,免疫 RBF网络系统的测向误差小于 0 .8°.说明这种免疫 RBF网络测向系统达到了相当高的测向精度 .

The paper transferred the direction detection into a pattern recognition problem, and constructed two-layer immune RBF network to measure the angle of arriving signal. The computer simulation shows that for the four antennas, the measurement bias of the network is less than 1° when the SNR is over 12 dB ; for the eight antennas, the measurement bias of the network is less than 0.8° when the SNR is over 8dB, which shows that the system has reached very high precision.