摘要
大气噪声、海杂波噪声和很多人为噪声的分布函数具有显著的拖尾特点,如果在这样的噪声环境下进行空间谱估计,还采用基于高斯噪声的模型,则会产生明显的性能退化。因此,针对这种冲击噪声条件下基于高斯噪声模型的目标检测方法性能退化的问题,提出了一种新的稳健的目标方位估计方法。在ROC-MNM算法基础上,通过采用共变矩阵对角加载的方法,提出了一种新的DROC-MNM算法。该方法可有效克服噪声对波束增益的影响,提高了目标的分辨力。仿真实验证明了所提出方法的有效性。
The density function of atmospheric noise, sea clutter noise and many types of man-made noise decays in the tails less rapidlythan the Gaussian density function.In such noise environment,if the DOA estimation is performed by using the model based on Gaussiannoise,the performance degradation will generate.Therefore,aiming at the capability degeneration for target detection under the condition of theimpulse noise,a novel robust DOA estimation method is proposed in this paper. Based on the ROC-MNM,the DROC-MNM algorithm isproposed by using the diagonal loading of covariation matrices. By introducing the method, the noise effect on beamfornaing gain can beeliminated,and the resolution capability can be improved.The computer simulation results verify the availability of the proposed method.
出处
《无线电通信技术》
2014年第5期76-78,共3页
Radio Communications Technology
关键词
冲击噪声
共变矩阵
对角加载
方位估计
impulse noise
eovariation matrix
diagonal loading
DOA estimation
