物理学报
物理學報
물이학보
2015年
9期
094304-1-094304-6
,共1页
范展%梁国龙%王晋晋%王燕%陶凯
範展%樑國龍%王晉晉%王燕%陶凱
범전%량국룡%왕진진%왕연%도개
自适应波束域变换%波束变换矩阵%波达方向估计%运动干扰抑制
自適應波束域變換%波束變換矩陣%波達方嚮估計%運動榦擾抑製
자괄응파속역변환%파속변환구진%파체방향고계%운동간우억제
adaptive beam-space transformation%beam-space matrix%direction of arrival estimation%moving interference suppression
波束域变换将阵元域数据投影到一个低维的波束域空间,不仅能够减小信号处理算法的运算时间,提高算法性能,还能够抑制干扰。本文针对常规自适应波束域变换方法需要在线调整波束变换矩阵、更新波束域导向矢量由此导致实时实现困难的问题,提出一种高效的自适应波束域变换方法。该方法将波束域协方差矩阵与导向矢量均表示成不依赖自适应波束变换矩阵的闭合形式,省去在线调整与更新过程,使运算效率得到了显著提高。最后将该方法应用到波达方向(DOA)的估计之中,仿真研究表明,本文方法获得了比常规自适应方法更好的DOA估计性能。此外,本文方法还具有另一个非常突出的优点,即它可以有效抑制运动强干扰。这是因为本文方法无需训练波束变换矩阵,其当前运算结果与历史快拍数据无关,这样可以有效避免常规自适应方法中因目标运动所导致的训练数据与应用数据失配的问题。
波束域變換將陣元域數據投影到一箇低維的波束域空間,不僅能夠減小信號處理算法的運算時間,提高算法性能,還能夠抑製榦擾。本文針對常規自適應波束域變換方法需要在線調整波束變換矩陣、更新波束域導嚮矢量由此導緻實時實現睏難的問題,提齣一種高效的自適應波束域變換方法。該方法將波束域協方差矩陣與導嚮矢量均錶示成不依賴自適應波束變換矩陣的閉閤形式,省去在線調整與更新過程,使運算效率得到瞭顯著提高。最後將該方法應用到波達方嚮(DOA)的估計之中,倣真研究錶明,本文方法穫得瞭比常規自適應方法更好的DOA估計性能。此外,本文方法還具有另一箇非常突齣的優點,即它可以有效抑製運動彊榦擾。這是因為本文方法無需訓練波束變換矩陣,其噹前運算結果與歷史快拍數據無關,這樣可以有效避免常規自適應方法中因目標運動所導緻的訓練數據與應用數據失配的問題。
파속역변환장진원역수거투영도일개저유적파속역공간,불부능구감소신호처리산법적운산시간,제고산법성능,환능구억제간우。본문침대상규자괄응파속역변환방법수요재선조정파속변환구진、경신파속역도향시량유차도치실시실현곤난적문제,제출일충고효적자괄응파속역변환방법。해방법장파속역협방차구진여도향시량균표시성불의뢰자괄응파속변환구진적폐합형식,성거재선조정여경신과정,사운산효솔득도료현저제고。최후장해방법응용도파체방향(DOA)적고계지중,방진연구표명,본문방법획득료비상규자괄응방법경호적DOA고계성능。차외,본문방법환구유령일개비상돌출적우점,즉타가이유효억제운동강간우。저시인위본문방법무수훈련파속변환구진,기당전운산결과여역사쾌박수거무관,저양가이유효피면상규자괄응방법중인목표운동소도치적훈련수거여응용수거실배적문제。
Beam-space transformation projects the array data into a lower space, which is not only effective in reducing computation time, improving performance, but also being capable to suppress interference. In contrast to conventional adaptive beam-space transformation method, which often requires adjusting the beam-space matrix and steering vectors online, an e?cient adaptive beam-space transformation method is proposed. In the proposed method, the beam-space covariance matrix and the steering vector both have closed-forms, and do not depend on the adaptive beam-space matrix. This eliminates the online adjustment process, and, thus, improves the computational e?ciency. Finally, the proposed method can also be applied to the direction of arrival (DOA) estimation. Simulation results demonstrate that it has a better DOA estimation performance than the conventional adaptive method. Furthermore, the proposed method also has another significant advantage, i.e., it is able to suppress moving interference. This can be ascribed to the proposed beam-space matrix which is independent of the historical data, and, thus, effective to avoid the mismatch between the training and application data, since this mismatch often occurs in conventional adaptive methods.