声学技术
聲學技術
성학기술
Technical Acousitics
2014年
5期
477-480
,共4页
声矢量阵%自适应波束形成%子阵域%矢量阵导向最小方差波束形成
聲矢量陣%自適應波束形成%子陣域%矢量陣導嚮最小方差波束形成
성시량진%자괄응파속형성%자진역%시량진도향최소방차파속형성
acoustic vector array%adaptive beamforming%sub-array domain%vector array steered minimum variance
矢量阵常规波束形成(Vector array Conventional BeamForming, VCBF)能够消除普通单线阵左右舷模糊现象，但VCBF波束宽度受到“瑞利限”的限制，不能分辨同一波束内的多个目标。矢量阵导向最小方差(Vector array STeered Minimum Variance, VSTMV)波束形成算法是一种宽带自适应波束形成算法，具有高分辨力和抗干扰性能。VSTMV波束形成直接在阵元域进行，计算量较大且稳健性差，不利于实时实现和应用。提出一种分子阵 VSTMV 波束形成算法(Sub-Array Vector array Steered Minimum Variance, SAVSTMV)，可有效降低计算量，算法稳健性更强。通过理论研究和仿真计算，证明该算法比矢量阵常规波束形成算法具有更好的性能，有利于实际应用。
矢量陣常規波束形成(Vector array Conventional BeamForming, VCBF)能夠消除普通單線陣左右舷模糊現象，但VCBF波束寬度受到“瑞利限”的限製，不能分辨同一波束內的多箇目標。矢量陣導嚮最小方差(Vector array STeered Minimum Variance, VSTMV)波束形成算法是一種寬帶自適應波束形成算法，具有高分辨力和抗榦擾性能。VSTMV波束形成直接在陣元域進行，計算量較大且穩健性差，不利于實時實現和應用。提齣一種分子陣 VSTMV 波束形成算法(Sub-Array Vector array Steered Minimum Variance, SAVSTMV)，可有效降低計算量，算法穩健性更彊。通過理論研究和倣真計算，證明該算法比矢量陣常規波束形成算法具有更好的性能，有利于實際應用。
시량진상규파속형성(Vector array Conventional BeamForming, VCBF)능구소제보통단선진좌우현모호현상，단VCBF파속관도수도“서리한”적한제，불능분변동일파속내적다개목표。시량진도향최소방차(Vector array STeered Minimum Variance, VSTMV)파속형성산법시일충관대자괄응파속형성산법，구유고분변력화항간우성능。VSTMV파속형성직접재진원역진행，계산량교대차은건성차，불리우실시실현화응용。제출일충분자진 VSTMV 파속형성산법(Sub-Array Vector array Steered Minimum Variance, SAVSTMV)，가유효강저계산량，산법은건성경강。통과이론연구화방진계산，증명해산법비시량진상규파속형성산법구유경호적성능，유리우실제응용。
Conventional vector array beamforming (VCBF) is able to solve the notorious port-starboard (PS) ambiguity problem of the ordinary single linear array. But, the beamwidth of VCBF is restricted by Rayleigh limit, VCBF can not distinguish the multi-targets in the same beam. Vector array steered minimum variance (VSTMV) beamforming is a wideband adaptive beamforming method with high-resolution and anti-jamming capability. However, the VSTMV beamforming implemented in the element-domain causes heavy computational load and low robustness, so it is not suitable for real-time implementation and application in sonar engineering. In this paper, an algorithm of VSTMV beamforming implemented in the sub-array domain (called SAVSTMV beamforming) is proposed, with which the computational load can be reduced and the robustness improved. The better performance of SAVSTMV beamforming over VCBF is proved through theoretical analysis and simulation calculation, which makes the proposed algorithm suitable for practical applications.
