ID 原文 译文
23415 两者的结合使得其相对于传统雷达高度计具有沿轨向高分辨率和显著提高测高精度的优势。 The combination of these two technologies makes it has high along-track resolution and high precision in height measurement.
23416 在 2 m 波高海况和 2 km 的地面网格下，其测高精度可以达到 2 cm。 On the basis of 2 m sea wave height and 2 km ground grid, the accuracy of sea surface height measured by SARAL will reach 2 cm.
23417 为了验证合成孔径雷达高度计的测高精度，在充分研究合成孔径雷达高度计测高原理和传统雷达高度计定标方法的基础上，该文提出一种基于全球导航卫星系统(GNSS)浮标的合成孔径雷达高度计定标方法，采用时空一致性匹配和多基线联合解算方法提高海面高度测量精度，并将该方法应用于合成孔径雷达高度计首次机载试验中，通过对试验数据结果的处理分析，在验证合成孔径雷达高度计测高精度的同时，初步验证了该定标方法的可行性。 In order to verify the accuracy of SARAL, based on a thorough study of the SARAL height measurement principle and traditional radar altimeter calibration method, a calibration method for SARAL based on Global Navigation Satellite System (GNSS) buoy calibration is developed. The method uses temporal and spatial consistency matching and multi- baseline joint solution to improve the accuracy of sea surface height measurement, then it is applied to the first airborne test of SARAL and the first airborne flight experiment data processing. By analyzing the results of airborne flight experiment data, at the same time of validation SARAL measurement precision, the feasibility of the SARAL calibration method is preliminarily verified.
23418 针对低信噪比情况下窄带雷达目标分类问题，该文提出基于时频分析的窄带雷达飞机目标分类特征提取方法。 A new feature extraction method based on time-frequency analysis is proposed for aircraft targets classification under low signal-to-noise ratio.
23419 该方法利用喷气式飞机、螺旋桨飞机和直升机 3 类目标调制周期的差异，提取时频谱域的熵值变化特性，并给出时频分析中窗函数长度的优化选择方法。 This method uses the variances of time-domain modulation periods of jet aircraft, propeller aircraft and helicopter to extract the variation of entropy in the time-frequency domain and gives a way to select optimal window lengths.
23420 基于仿真和实测数据的实验结果表明，该文方法可以在低信噪比情况下显著提升飞机目标正确分类概率。 Experimental result based on simulated data and measured data demonstrates that the proposed method can significantly improve the classification probability of aircraft targets under low signal-to-noise ratio.
23421 针对异构密集网络场景中业务不确定性而引起的网络负载不均衡，该文提出一种基于部分可测马尔科夫决策过程(POMDP)负载感知的负载均衡方法。 In order to solve the load imbalance problem caused by uncertainty of traffic in heterogeneous dense cellular networks, this paper proposes a load balance algorithm through small cell range expansion. The proposed algorithm is based on Partially Observable Markov Decision Process (POMDP).
23422 该方法首先通过对系统用户在感知周期内数据包传输数量进行观察，预测出下一周期系统可能出现的负载状态。 By observing the packets of system user during the perceptual cycle, the next cycle system possible load state can be dopted.
23423 其次根据负载感知结果动态调整小区范围扩展偏置值(DCRE)，以达到优化系统整体负载均衡性的目的。 Then, the Dynamic Cell Range Expansion (DCRE) offset value is dynamically adjusted to take action in advance, reaching the purpose of optimizing the system load balance.
23424 最后采用启发式算法近似求解，能够快速得到次优解。 To solve the problem efficiently, a heuristic algorithm is used to approximate and quickly get the suboptimal solution.