ID	原文	译文
6664	仿真和实测结果表明天线具有超宽的阻抗带宽和轴比带宽。	Simulation and measured results show that the impedance of the antenna has the ultra wide bandwidth and axial ratio bandwidth.
6665	天线的工作频带为4.4～11.6GHz(相对带宽为90%),3dB轴比带宽为3.6～11.3GHz(相对带宽为103.4%)。	Antenna working frequency band is 4.4 ~ 11.6 GHz (relative bandwidth is 90%), 3 db axial ratio bandwidth is 3.6 ~ 11.3 GHz (relative bandwidth is 103.4%).
6666	测量了天线的辐射性能和增益特性,实测结果与仿真结果吻合较好,证明了该天线的有效性。	Measured the antenna's radiation performance and gain characteristic, the measured results and simulation results are in good agreement, to prove the effectiveness of the proposed antenna.
6667	该天线可以应用于超宽带无线通信系统和卫星通信系统中。	The antenna can be applied in broadband wireless communication system and satellite communication system.
6668	针对低信噪比下二进制偏移载波信号的组合码序列以及信息序列盲估计问题,在未知时延下,利用奇异值分解(singular value decomposition,SVD)算法估计出的组合码序列及信息序列,其最大奇异向量和次大奇异向量之间可能存在酉模糊现象。	For binary offset carrier signal under low SNR combined code sequence and sequence of blind estimation problem, under the unknown time delay, by using singular value decomposition (singular value decomposition, SVD) algorithm to estimate the combined code sequence, and the information of its largest singular vectors and large unitary fuzzy phenomenon may exist between singular vectors.
6669	对于该问题的研究,提出一种改进的SVD方法对最大奇异向量及次大奇异向量进行线性组合,接着最优化筛选出其相应的系数矩阵,最后结合系数矩阵估计出组合码序列与信息序列。	Research on this problem, an improved SVD method for singular vectors and second largest singular vectors of the linear combination, and then optimization screening its corresponding coefficient matrix, the final combination of coefficient matrix estimate the code sequence and sequence information.
6670	仿真结果表明,改进的SVD算法可同时应用于组合码和信息序列的估计且不受未知时延的影响,具有消模糊效果好、需要数据量少和抗噪性能强的特点。	The simulation results show that the improved SVD algorithm can be combined and applied to code and information sequence estimation and is not affected by unknown time delay, a fuzzy elimination effect is good, need the data quantity is little, and the characteristics of strong antinoise performance.
6671	针对传统波束成形计算复杂度过大的问题,提出一种基于集员共轭梯度的约束自适应波束成形算法。	Aiming at the problem of traditional beam forming computational complexity is too large, based on a set membership conjugate gradient adaptive beam forming algorithm of constraints.
6672	运用共轭梯度算法原理,在期望信号功率保留的约束条件下使输出方差最小,得到权重向量,避免计算输入信号的协方差逆矩阵,有效达到收敛。	By using the principle of the conjugate gradient algorithm, the desired signal power to keep the output variance under the constraint of minimum, get the weight vector, avoiding covariance inverse matrix calculation of the input signal to achieve convergence effectively.
6673	集员方法运用时变边界约束条件,实行数据选择性更新,减少计算复杂度。	Set membership method using the time-varying boundary constraint conditions, implement data selectively update, reduce the computational complexity.