ID	原文	译文
6784	针对这一问题,通过在收发阵列中分别引入若干个经过精确校正的辅助阵元,并利用子空间原理和降维思想,提出了一种双基地MIMO雷达目标二维角度及收发阵列互耦和幅相误差矩阵的联合估计算法。	In order to solve this problem, by introducing several respectively in the sending and receiving array after precise correction of auxiliary array yuan, and using the subspace principle and dimension reduction ideas, this paper proposes a two-dimensional Angle and bistatic MIMO radar target sending and receiving array mutual coupling and amplitude-phase error matrix of the joint estimation algorithm.
6785	首先,该算法不需要收发阵列互耦和幅相误差矩阵信息,就能较为精确地估计出目标的DOA和DOD;	First, the algorithm does not need to send and receive information array mutual coupling and amplitude-phase error matrix, can more accurately estimate the DOA and DOD;
6786	然后,基于对目标二维角度的精确估计,还能进一步对互耦和幅相误差矩阵进行精确估计,进而对收发阵列误差实现自校正。	Then, based on the accurate estimation of target two-dimensional Angle, can also further the mutual coupling and amplitude-phase error matrix accurately estimates that, in turn, the correction of sending and receiving array error.
6787	所提算法只需进行一维谱峰搜索,不需要高维非线性优化搜索,所以运算量较小。	The proposed algorithm is only for one dimensional spectrum peak search, don't need a high-dimensional nonlinear optimization search, so the computational complexity is small.
6788	计算机仿真结果证明了所提算法的有效性和正确性。	The computer simulation results prove the correctness and effectiveness of the proposed algorithm.
6789	针对低信噪比下复合二进制偏移载波(composite binary offset carrier,CBOC)信号的组合码序列盲估计问题。	For composite under low signal-to-noise ratio of binary offset carrier (composite binary offset carrier, CBOC) signal is a combination of code sequence blind estimation problem.
6790	首先采用奇异值分解(singular value decomposition,SVD)的算法对CBOC的组合码序列进行可行性验证,可得在已知相关参数的情况下对CBOC信号组合码序列盲估计是可行的;	First using singular value decomposition (singular value decomposition, SVD) algorithm for the CBOC verifies the feasibility of combined code sequence, available in the case of known parameters related to the combination of the CBOC signal code sequence blind is feasible;
6791	其次就SVD在长序列估计中计算量和存储量需求大的问题,进一步提出主分量神经网络解决上述问题,同时引入最优变步长收敛模型改善神经网络(neural network,NN)收敛速度。	Second SVD in long sequence estimation in the problem of large amount of calculation and storage requirements, further put forward principal component neural network to solve the above problem, at the same time optimal variable step convergence model is introduced to improve the neural network, neural network, NN) convergence speed.
6792	利用无监督NN的自适应主分量提取信号特性,避免批处理运算,实现CBOC信号组合码序列盲估计。	Using unsupervised NN adaptive principal components extraction of signal characteristics, avoid the batch operation, the combined code sequences from CBOC signal blind.
6793	实验表明,NN能在-20dB下达到精确估计序列的目的,且算法有稳定性高、复杂度低、收敛速度快等优点。	Experiments show that the NN can achieve the purpose of accurate estimate sequence 5 to 20 db, and the algorithm has high stability, low complexity, fast convergence rate, etc.