ID	原文	译文
7514	然后将鲁棒滑模控制技术拓展到此LPV模型中,给出了以线性矩阵不等式(linear matrix inequality,LMI)为形式的降阶滑动模态的存在性及鲁棒稳定性定理。	Then will robust sliding mode control technology to expand to the LPV model, with linear matrix inequality (LMI) is presented in the form of LMI (linear matrix inequality,) the existence of the reduced order sliding mode and the theory of robust stability.
7515	以此为基础所设计的参数依赖的趋近律控制器能够使具有不匹配不确定性的LPV系统在有限时间内收敛至滑模切换面。	Based on the designed parameters depend on the reaching law controller can make the LPV system with uncertainty does not match the convergence to the sliding mode switching surface in finite time.
7516	仿真结果表明,上述滑模控制器在模型存在不确定性的情况下能够保证变体过程的全局稳定性。	The simulation results show that the sliding mode controller in the presence of uncertainty model can ensure the global stability of variations in process.
7517	针对双基地多输入多输出(multiple-input multiple-output,MIMO)雷达自适应非对称联合对角化(adaptive asymmetric joint diagonalization,AAJD)跟踪算法在低信噪比时失效的问题,提出一种双基地MIMO雷达高精度跟踪算法。	For double base multiple input multiple output (multiple input multiple output, MIMO) radar adaptive asymmetric joint diagonalization (adaptive asymmetric be diagonalization, AAJD) tracking algorithm in low SNR, solve the problem of a bistatic MIMO radar precision tracking algorithm is put forward.
7518	首先,针对低信噪比时AAJD算法信号子空间扩展问题,利用主成分顺序估计原理求出特征值,根据特征值的大小对导向矢量进行排序,得到更加精确的信号子空间。	First, in view of the low SNR signal subspace AAJD algorithm extension problems, using the principal component sequence estimation principle and the characteristic value, according to the size of the characteristic value of steering vector sorting, get more accurate signal subspace.
7519	其次,根据跟踪状态的不同,将多目标分类(multiple signal classification,MUSIC)算法分为两步:	Secondly, according to the tracking status is different, the multi-objective classification (multiple signal classification, MUSIC) algorithm is divided into two steps:
7520	第一步全空域大步长扫描,对应跟踪非稳定状态;	the first step in the whole airspace large step scanning, corresponding tracking unsteady state;
7521	第二步小空域小步长扫描,对应跟踪稳定状态,空域范围由上一时刻估计角度和运动速度确定,并将峰值搜索过程变为取最大值操作,降低了计算量。	Step 2 small airspace step length scanning, corresponding tracking stable state, airspace by moment estimation Angle and velocity is determined, and the peak search process to maximize the operation, reduces the amount of calculation.
7522	算法解决了低信噪比时信号子空间扩展问题,提高了跟踪性能,且采用了性能更高的MUSIC算法,并对其进行改进,降低了计算量。	Algorithm to solve the low SNR signal subspace extension problems, improve the tracking performance, and the performance of higher MUSIC algorithm, and carries on the improvement, reduces the amount of calculation.
7523	仿真结果证明了算法的有效性。	The simulation results prove the effectiveness of the algorithm.