摘要
经典MUSIC算法的性能直接依赖于信号源数目的估计,过估计和欠估计对MUSIC算法的DOA估计都有影响,尤其欠估计影响更大。基于所设计的均匀圆阵列,分别在高斯白噪声及色噪声情况下,对AIC准则、MDL准则和NMGDE法等信源数估计方法进行了性能比较。仿真结果表明,在白噪声环境下,在一定信噪比及快拍数下,MDL和NMGDE法均有很好地检测概率;而在色噪声环境下,AIC及MDL准则都失效,而NMGDE法却仍有较高地检测概率。
The performance of classic MUSIC algorithm depends on the estimation on source number directly and both overestimation and underestimation will affect the DOA estimation, especially underestimation. Based on the designed UCA, the performances of AIC, MDL and NMGDE are compared under Gaussian white noise and colored noise respectively. The simulation results show that under a certain condition of some SNR and snapshots, MDL and NMGDE have good performance in white noise;however, both AIC and MDL fail in detection under colored noise except NMGDE with a good detection probability.
出处
《无线电工程》
2007年第12期18-20,52,共4页
Radio Engineering
