CAJ | 학술논문

基于变换的广义特征空间波束形成器在低快拍数、低信噪比和相干信源条件下波束形成性能下降，为解决这一问题，文章提出基于变换的线性约束斜投影波束形成（T-LCOBPB）算法，该算法用变换矩阵对接收信号进行变换后，将线性约束最小方差算法的静态权向量向信号子空间作斜投影得到自适应权向量，从而实现自适应波束形成。数值仿真表明，T-LCOBPB算法在高、低信噪比都具有较好的波束形成性能，且在低快拍数和相干信源情况下仍具有较好的波束形成性能，是一种性能优越且鲁棒的波束形成方法。
기우변환적엄의특정공간파속형성기재저쾌박수、저신조비화상간신원조건하파속형성성능하강，위해결저일문제，문장제출기우변환적선성약속사투영파속형성（T-LCOBPB）산법，해산법용변환구진대접수신호진행변환후，장선성약속최소방차산법적정태권향량향신호자공간작사투영득도자괄응권향량，종이실현자괄응파속형성。수치방진표명，T-LCOBPB산법재고、저신조비도구유교호적파속형성성능，차재저쾌박수화상간신원정황하잉구유교호적파속형성성능，시일충성능우월차로봉적파속형성방법。
The transformation-based generalized eigenspace-based beamformer has worse performance under the conditions of small snapshot number ,low SNR and coherent sources .In this paper ,the transformation-based linearly constrained oblique projection beamforming (T-LCOBPB ) algorithm is proposed to overcome these problems .After transforming the array input data vector with the trans-formation matrix ,the weight vector of the T-LCOBPB algorithm is generated by obliquely projecting the fixed weight vector of the linearly constrained minimum variance algorithm onto the signal sub-space ,thus achieving adaptive beamforming .The simulation results reveal that the T-LCOBPB algo-rithm has better beamforming performance both in high and low SNR ,and it also has better perform-ance in small snapshot number and coherent sources .The T-LCOBPB algorithm has robust character-istic and good performance .