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
2期
253-258
,共6页
王毅%陈伯孝%杨明磊%郑桂妹
王毅%陳伯孝%楊明磊%鄭桂妹
왕의%진백효%양명뢰%정계매
分布式 nested 阵列%Khatri-Rao 积%酉旋转不变子空间%波达方向
分佈式 nested 陣列%Khatri-Rao 積%酉鏇轉不變子空間%波達方嚮
분포식 nested 진렬%Khatri-Rao 적%유선전불변자공간%파체방향
separated nested array%Khatri-Rao product%unitary estimation of signal parameters via rota-tional invariance techniques(ESPRIT)%direction of arrival(DOA)
为了进一步提高分布式阵列的自由度和分辨力,提出一种分布式 nested 阵列。该阵列将 nested 阵列作为分布式阵列的子阵。基于 Khatri-Rao 积,nested 子阵可提高整个阵列的自由度。分布式 nested 阵列以较少的阵元数及硬件成本实现大的孔径和较高的分辨力,而且提高了目标波达方向(direction of arrival,DOA)估计的精度。并利用基于 Khatri-Rao 积的空间平滑酉旋转不变子空间(estimation of signal parameters via rotational invariance techniques,ESPRIT)算法进行 DOA 估计。其先对协方差矩阵向量化提高自由度,然后利用空间平滑对新数据协方差矩阵进行秩恢复,最后使用双尺度酉 ESPRIT 算法得到 DOA 估计。仿真结果证明所提方法的有效性。
為瞭進一步提高分佈式陣列的自由度和分辨力,提齣一種分佈式 nested 陣列。該陣列將 nested 陣列作為分佈式陣列的子陣。基于 Khatri-Rao 積,nested 子陣可提高整箇陣列的自由度。分佈式 nested 陣列以較少的陣元數及硬件成本實現大的孔徑和較高的分辨力,而且提高瞭目標波達方嚮(direction of arrival,DOA)估計的精度。併利用基于 Khatri-Rao 積的空間平滑酉鏇轉不變子空間(estimation of signal parameters via rotational invariance techniques,ESPRIT)算法進行 DOA 估計。其先對協方差矩陣嚮量化提高自由度,然後利用空間平滑對新數據協方差矩陣進行秩恢複,最後使用雙呎度酉 ESPRIT 算法得到 DOA 估計。倣真結果證明所提方法的有效性。
위료진일보제고분포식진렬적자유도화분변력,제출일충분포식 nested 진렬。해진렬장 nested 진렬작위분포식진렬적자진。기우 Khatri-Rao 적,nested 자진가제고정개진렬적자유도。분포식 nested 진렬이교소적진원수급경건성본실현대적공경화교고적분변력,이차제고료목표파체방향(direction of arrival,DOA)고계적정도。병이용기우 Khatri-Rao 적적공간평활유선전불변자공간(estimation of signal parameters via rotational invariance techniques,ESPRIT)산법진행 DOA 고계。기선대협방차구진향양화제고자유도,연후이용공간평활대신수거협방차구진진행질회복,최후사용쌍척도유 ESPRIT 산법득도 DOA 고계。방진결과증명소제방법적유효성。
To further improve the degrees of freedom and resolution of separated coherent arrays,a novel separated nested array is proposed.The nested arrays are used as the subarrays of the separated array.Based on the Khatri-Rao product,the nested subarrays can improve the degrees of freedom of the separated nested array. The separated nested array possesses large aperture and high resolution with low hardware cost and improves di-rection of arrival(DOA)estimation accuracy.The spatial smoothing unitary estimation of signal parameters via rotational invariance techniques(ESPRIT)based on the Khatri-Rao product is proposed to implement the DOA estimation.The covariance matrix is vectorized to improve the degrees of freedom and the spatial smoothing is used to build up the rank of the new covariance matrix,and then the DOA estimation is obtained using the dual-size unitary ESPRIT algorithm.Simulation results are given to verify the effectiveness of the proposed method.