ID 原文 译文
49557 提出一种基于部分可观测马尔可夫决策过程的信道接入策略。 put forward a kind of based on partially observable markov decision process of channel access strategy.
49558 在以不同优先级分组占用信道代价作为目标函数的基础上建立动态规划方程，采用状态空间压缩方法对问题求解进行简化， At different priority group occupied channel cost as the objective function based on dynamic programming equation, using state space compression method to simplify the problem solving,
49559 得到各优先级分组间理论近似最优接入门限值的数学表达式， obtains each priority grouping between approximate mathematical expression of the optimal answer the entry threshold,
49560 可为不同优先级分组的接入决策过程提供理论依据并实现接入冲突的有效控制。 can provide different priority packet access provides the theory basis for the decision making process and realize the effective control of access conflict.
49561 仿真结果表明，该算法能够有效提高数据传输的时延、成功概率等性能，满足军事航空通信中数据传输的实时性和可靠性需求。 Simulation results show that the proposed algorithm can effectively improve the time delay of data transmission, the probability of success, such as performance, meet the real-time performance and reliability of data transmission in military aviation communication needs.
49562 对于相控阵雷达方向余弦量测，采用扩展卡尔曼概率假设密度(extended Kalman probability hypothesis density，EK-PHD)滤波进行多目标跟踪时，存在目标数估计偏高和目标状态估计准确度低的问题。 For phased array radar direction cosine measure, adopting extended Kalman probability hypothesis density (extended Kalman aim-listed probability content, density, EK - PHD) filter for multiple target tracking, target number estimation on the high side and low accuracy of target state estimation problem.
49563 针对上述问题，提出了一种新的多目标跟踪算法——无偏转换量测概率假设密度(unbiased converted measurements PHD，UBCM-PHD)滤波算法。 According to the above problem, this paper proposes a new multiple target tracking algorithm, unbiased conversion measuring probability hypothesis density (unbiased converted measurements PHD, UBCM - PHD) filtering algorithm.
49564 该算法采用方向余弦量测下的量测转换方法，保留了更多的量测信息; The algorithm adopts the direction cosine measure of measurement conversion method, retained more measurement information;
49565 同时对转换后的量测偏差进行补偿，使量测转换误差的均值、方差准确近似原始量测高斯分布的一、二阶矩。 At the same time to compensate the converted measurement deviation, make the measurement conversion error accurate approximation of the mean value and mean variance of the original measurement a gaussian distribution, the second order moment.
49566 仿真实验表明，所提算法可提高目标数和目标状态估计准确性。 The simulation results show that the proposed algorithm can improve the target number and target state estimation accuracy.