The performance of classic MUSIC algorithm depends on the source number estimation directly and both overestimation and underestimation will influence the DOA estimation ,especially underestimation. Therefore ,the source number estimation is one of the basic tasks in array signal processing, as well as in radar, communications and other fields. Based on the designed UCA, the performances of GDE,NMGDE, SGDE and SGDE-D are compared under the different adjustable factors. The simulation results show that SGDE-D has the better detection performance and adaptability to adjustable factor than the other algorithms.%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。因此,信源数估计是阵列信号处理中的一个重要研究课题,也是雷达、通信等领域的基本任务之一。基于所设计的均匀圆阵列,对GDE、NMGDE、SGDE和SGDE-D等信源数估计方法在不同的调整因子情况下进行了性能比较。仿真结果表明,SGDE-D法相对其他算法对调整因子的适应性较好,并且具有良好的检测性能。
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