系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
Systems Engineering and Electronics
2015年
10期
2260-2265
,共6页
机载多输入多输出雷达%空时自适应处理%知识辅助%广义内积非均匀检测器%干扰目标
機載多輸入多輸齣雷達%空時自適應處理%知識輔助%廣義內積非均勻檢測器%榦擾目標
궤재다수입다수출뢰체%공시자괄응처리%지식보조%엄의내적비균균검측기%간우목표
airborne multiple-input multiple-output (MIMO ) radar%space-time adaptive processing (STAP)%knowledge-aid (KA)%generalized inner product non-homogeneity detector (GIP NHD)%target-like signal
针对样本协方差矩阵受干扰目标污染时机载多输入多输出（multiple-input multiple-output，MIMO）雷达空时自适应处理（space-time adaptive processing，STAP）目标检测性能下降的不足，提出一种知识辅助（knowledge-aided，KA）的广义内积非均匀样本检测方法。首先利用扁长椭球波函数估计的杂波子空间知识，离线构造杂波协方差矩阵，然后与广义内积非均匀检测器（generalized inner product non-homogeneity detector，GIP NHD）结合，实现对训练样本的有效选择，使目标检测不受训练样本中干扰目标的影响。仿真结果表明，相对于常规 GIP 方法，KA-GIP 方法能够对存在干扰目标的样本进行更加有效地剔除，并且机载 MIMO 雷达 STAP 的目标检测性能得到显著提升，因此更有利于实际工程应用。
針對樣本協方差矩陣受榦擾目標汙染時機載多輸入多輸齣（multiple-input multiple-output，MIMO）雷達空時自適應處理（space-time adaptive processing，STAP）目標檢測性能下降的不足，提齣一種知識輔助（knowledge-aided，KA）的廣義內積非均勻樣本檢測方法。首先利用扁長橢毬波函數估計的雜波子空間知識，離線構造雜波協方差矩陣，然後與廣義內積非均勻檢測器（generalized inner product non-homogeneity detector，GIP NHD）結閤，實現對訓練樣本的有效選擇，使目標檢測不受訓練樣本中榦擾目標的影響。倣真結果錶明，相對于常規 GIP 方法，KA-GIP 方法能夠對存在榦擾目標的樣本進行更加有效地剔除，併且機載 MIMO 雷達 STAP 的目標檢測性能得到顯著提升，因此更有利于實際工程應用。
침대양본협방차구진수간우목표오염시궤재다수입다수출（multiple-input multiple-output，MIMO）뢰체공시자괄응처리（space-time adaptive processing，STAP）목표검측성능하강적불족，제출일충지식보조（knowledge-aided，KA）적엄의내적비균균양본검측방법。수선이용편장타구파함수고계적잡파자공간지식，리선구조잡파협방차구진，연후여엄의내적비균균검측기（generalized inner product non-homogeneity detector，GIP NHD）결합，실현대훈련양본적유효선택，사목표검측불수훈련양본중간우목표적영향。방진결과표명，상대우상규 GIP 방법，KA-GIP 방법능구대존재간우목표적양본진행경가유효지척제，병차궤재 MIMO 뢰체 STAP 적목표검측성능득도현저제승，인차경유리우실제공정응용。
When the covariance matrix is estimated with training samples contaminated by target-like sig-nals,the performance of target detection in multiple-input multiple-output (MIMO)radar space-time adaptive processing (STAP)decreases.Aiming at this deficiency,a knowledge-aided (KA)generalized inner product (GIP)method for non-homogeneous samples detection is proposed.Firstly the clutter subspace knowledge esti-mated by prolate spheroidal wave functions is utilized to construct the clutter covariance matrix offline.Then the GIP non-homogeneity detector (GIP NHD)is integrated to realize the effective selection of training samples, which eliminates the effect of the target-like signals in training samples on target detection.The simulation re-sults show that compared with the conventional GIP method,the KA-GIP method can screen out contaminated training samples more effectively and the target detection performance of MIMO radar STAP can be improved significantly.Thus the proposed KA-GIP method is more valuable for practical engineering application.
