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作 者:尹玉红[1] 张群飞[1] 黄建国[1] 王蕾[1]
出 处:《计算机仿真》2007年第7期98-102,共5页Computer Simulation
摘 要:文章重点研究了在不同噪声背景下的多目标检测(判阶)技术,主要包括AIC、EDC、EGM、GDE和EIT多目标检测算法,并进行了理论分析、统计性能仿真和水池试验验证。针对在实际系统中由于阵列误差和环境噪声的影响使算法的检测性能下降的问题,提出了一种对角加载修正算法,通过调整修正量的大小来改善算法的统计性能。统计结果表明,对角加载修正算法不但改善了多目标检测算法在低信噪比下的检测性能,而且提高了算法在高信噪比下的稳健性。This paper mainly introduces five typical multi -target detection( order detection) methods in different noise environment, they are AIC, EDC, EGM, GDE and EIT methods. Theoretical analysis, statistical analysis through computer simulation and water tank experiment about these methods have been done. Aiming at the degradation of detection performance caused by array error and environment noise in real system, a novel diagonal loaded amendatory algorithm which can improve statistical performance of the aforementioned methods through adjusting amendatory value is proposed. This novel algorithm not only improves the detection performance of these multi - target detection methods in low signal -noise -ratio, but also enhances robust property in high signal -noise -ratio.
分 类 号:TN911.7[电子电信—通信与信息系统]
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