ID 原文 译文
22745 为了进一步提高大气对微波传播衰减影响的描述精度，为微波链路遥感反演大气新应用提供理论基础，该文系统性研究了大气主要吸收气体和各种大气粒子对微波传播的衰减情况。 To describe the effect of atmospheric conditions on the microwave propagations precisely, establish the theoretical foundation for the new applications of the atmospheric inversion by microwave links, the propagation attenuation by the absorptive gas and various atmospheric particles are investigated systematically in this paper.
22746 利用 ITU-R 模型计算大气主要气体成分对微波的吸收衰减，然后在降水粒子、云雾粒子和沙尘粒子的介电模型、形状、相态和谱分布的基础上，计算得到群粒子对微波的衰减特性，系统讨论降水强度、相态、含水量、谱分布、气压和温度等因素对微波传播衰减的影响。 The absorption of main gas component in atmosphere are calculated by ITU-R model, and then based on the physical characteristics and dielectric model of different types of precipitation particles, cloud and fog particles, and  sand  particles,  the  scattering  characteristics  of  atmospheric  particles  cluster  at  the  microwave  band  are calculated, the effect of particle size distribution, intensity, phase, and temperature on the microwave propagation at  different  waveband  are  discussed  systematically.
22747 数值模拟结果表明，大气主要气体成分在 60 GHz, 180 GHz 和 320 GHz 附近存在强烈的吸收带，其衰减系数与水蒸气含量和气压呈正相关，与温度呈负相关； The numerical simulation results show that there are absorption band at 60 GHz, 180 GHz, and 320 GHz due to oxygen and vapor, and the attenuation is positively related to both the vapor content and air pressure, while it is negatively related to the temperature.
22748 降水强度、谱分布、相态以及冰水比例对降水的微波衰减存在不同程度的影响，云雾的含水量和相态，沙尘的数密度、谱分布和含水量是影响微波衰减的主要因素，而温度的影响较小； The microwave propagation attenuation by precipitation are mainly influenced by the precipitation intensity, particles size distribution, phase and its component rate. The water content and phase of cloud and fog are the main factors that affect the microwave attenuation, the number density, size distribution and water content of dust are the main factors that affect the microwave attenuation, while the temperature is the least factor.
22749 大气各因素的衰减系数从大到小依次为爆炸沙尘、降水、气体吸收、水雾、冰雾和自然沙尘。 In sum, in order of the attenuation coefficient, it goes: blast dust, precipitation, gas absorption, water fog, ice fog, and atmospheric dust.
22750 针对目前 Turbo 码中，分量编码器递归系统卷积码识别算法计算量大，容错性不好两大缺点，该文提出了一种容错性能较好的快速识别算法。 In order to solve the defects which are poor error tolerance and large amount of calculation in current algorithms to recognize the Recursive Systematic Convolutional (RSC) encoder in Turbo codes, a new fast algorithm is proposed.
22751 首先，在分析递归系统卷积码特殊结构的基础上，定义了更具普遍意义的广义码重概念； Firstly, based on special structure of RSC codes, the concept named generalized code weight is defined which is more general.
22752 其次，建立出递归系统卷积码生成多项式数据库，按照数据库中多项式是否为实际编码多项式的情况，分析出多项式所对应的结果向量广义码重概率分布；然后，按照分析出的广义码重概率分布，基于极大极小准则，导出快速识别算法判决门限的计算公式； Secondly, the RSC polynomial database is built up, the probability distribution of generalized code weight can be analyzed under two situation whether the polynomials in database is actual polynomial, then based on distribution and Maxmin criteria, the decision threshold of the fast algorithm is deduced.
22753 最后通过遍历多项式数据库，将遍历的多项式所对应的校验方程广义码重值与判决门限比较，从而实现参数的快速识别。 Finally, the parameters can be recognized by traversing the polynomials in database and compare the corresponding generalized code weight with decision threshold.
22754 仿真结果表明：理论分析出的广义码重概率分布与仿真结果相一致，同时算法容错性能较好，在误码率高达 0.09 的条件下，各种编码约束长度下的递归系统卷积码识别率在 90%以上，并且计算复杂度较小。 The simulation results show that theoretical analysis of the probability distribution is consistent with the simulation's and the performance of error tolerant is preferable. The actual simulation show that correct rate of recognition can reach above 90% when the rate of bit error is as high as 0.09, besides, the computational complexity is low.