电子学报
電子學報
전자학보
ACTA ELECTRONICA SINICA
2013年
9期
1730-1737
,共8页
朱凯然%何学辉%靳标%朱文涛%苏涛
硃凱然%何學輝%靳標%硃文濤%囌濤
주개연%하학휘%근표%주문도%소도
核四极矩共振%自旋回波串%2-D参数估计%特征向量基%子空间转移不变结构
覈四極矩共振%自鏇迴波串%2-D參數估計%特徵嚮量基%子空間轉移不變結構
핵사겁구공진%자선회파천%2-D삼수고계%특정향량기%자공간전이불변결구
nuclear quadrupole resonance (NQR)%spin echo train (SET)%two-dimensional parameter estimation%eigenvec-tor-based%shift-invariance structure of the signal subspace
针对存在加性高斯白噪声多参数变量的多谱线自旋回波串(Spin Echo Train ,SET )信号参数估计问题,提出基于特征向量的2-D参数估计方法。将SET信号构造成2-D数据矩阵,按照不同的方式构造Hankel块矩阵束,利用子空间转移不变结构解得特征向量,依据特征向量的结构规律获得衰减因子和频率,基于最小二乘方法进一步获得信号幅度估计。该方法具有自动配对的能力,在相对高信噪比以及频率可分辨的情况下能够实现参数的有效估计,且计算复杂度较低。仿真数据结果证明了算法的有效性。
針對存在加性高斯白譟聲多參數變量的多譜線自鏇迴波串(Spin Echo Train ,SET )信號參數估計問題,提齣基于特徵嚮量的2-D參數估計方法。將SET信號構造成2-D數據矩陣,按照不同的方式構造Hankel塊矩陣束,利用子空間轉移不變結構解得特徵嚮量,依據特徵嚮量的結構規律穫得衰減因子和頻率,基于最小二乘方法進一步穫得信號幅度估計。該方法具有自動配對的能力,在相對高信譟比以及頻率可分辨的情況下能夠實現參數的有效估計,且計算複雜度較低。倣真數據結果證明瞭算法的有效性。
침대존재가성고사백조성다삼수변량적다보선자선회파천(Spin Echo Train ,SET )신호삼수고계문제,제출기우특정향량적2-D삼수고계방법。장SET신호구조성2-D수거구진,안조불동적방식구조Hankel괴구진속,이용자공간전이불변결구해득특정향량,의거특정향량적결구규률획득쇠감인자화빈솔,기우최소이승방법진일보획득신호폭도고계。해방법구유자동배대적능력,재상대고신조비이급빈솔가분변적정황하능구실현삼수적유효고계,차계산복잡도교저。방진수거결과증명료산법적유효성。
In allusion to multi-parameter estimation of multi-spectrum spin echo train (SET) signal in the presence of addi-tive white Gaussian noise ,a two-dimensional (2-D ) parameter estimation method based on eigenvector is proposed .Using SET sig-nal to construct a 2-D data matrix ,and according to the different manner to form Hankel block matrix pencil ,the eigenvector is re-solved by utilizing the shift-invariance structure of the signal subspace ,and then ,the damping factor and frequency are estimated ac-cording to the structure rule of the eigenvector .The complex amplitude of SET is then obtained on the basis of standard least squares .The method has the capability of auto association .Under relatively large signal-to-noise ratio (SNR ) and available frequen-cy resolution conditions ,it can estimate the parameters effectively ,and has an attractive computation complexity .Simulation results show the effectiveness of the proposed algorithm .