ID 原文 译文
55918 通过ns-2下的仿真,证明算法能达到预期的效果。 Through the simulation under ns - 2, prove algorithm can achieve the desired effect.
55919 以信息节点的幅度和作为校验方程的可靠度信息,提出两种简单高效的低密度奇偶效验(low density parity check,LDPC)码的加权比特翻转(weighted bit flipping,WBF)译码算法。 To the extent of information nodes as calibration equation of the reliability of information, and puts forward two kinds of simple and efficient low density parity efficacy (low density parity check, LDPC) code of the weighted bits flip (weighted bit flipping, WBF) decoding algorithm.
55920 仿真结果表明,在加性高斯白噪声信道下,误比特率为10-5时,相比于传统的WBF和改进型WBF(modified WBF,MWBF)算法,提出的一种算法可分别获得约1.65dB和1. Simulation results show that under additive white gaussian noise channel, the bit error rate is 10-5, compared to traditional WBF and modified WBF (modified WBF, MWBF) algorithm, proposed an algorithm can be about 1. 65 dB and 1. 31 dB gain, respectively.
55921 31dB的增益。同时,平均迭代次数也大大降低。 At the same time, the average number of iterations are greatly reduced.
55922 基于知识辅助的样本挑选算法是一种模型化的算法,当存在阵元误差时,假定的杂波模型与实际接收数据不匹配,算法性能严重下降。 Based on knowledge of auxiliary sample selection algorithm is a kind of modeling algorithm, when arrays are error, assuming the clutter model and the actual receiving data do not match, algorithm performance serious decline.
55923 为了解决这个问题,提出一种基于子空间的阵元误差估计方法。 In order to solve this problem, this paper puts forward a kind of linear arrays error estimation method based on subspace.
55924 该方法首先利用雷达构型参数计算杂波的正交补空间,再对接收数据分解得到最大奇异值对应的左奇异向量,最后利用两者的正交性来估计阵元误差。 This method firstly configuration parameters are calculated using radar clutter orthogonal complement space, again to receive data obtained the largest singular value decomposition left singular vectors of the corresponding, finally using the orthogonality of the two arrays to estimate the error.
55925 仿真实验表明,该方法可以准确地估计阵元误差,提高知识辅助样本挑选算法的稳健性。 Simulation experiments show that the method can accurately estimate array yuan error, improve the knowledge of auxiliary sample selection algorithm robustness.
55926 平流层飞艇作为一种低速飞行器对风场干扰具有很强的敏感性,它在水平面长距离逆风巡航时需要消耗较多的能量。 The stratosphere airship as a vehicle at low speed to wind field interference has a strong sensitivity, it in the horizontal plane when cruising distance against the wind need to consume more energy.
55927 针对此问题,提出了一种基于奇异摄动法的最小能量水平面轨迹优化方法。 Aiming at this problem, proposed a based on the singular perturbation method, the minimum energy level trajectory optimization method.