ID	原文	译文
8094	在跑车实验之前,利用有限冲激响应(finite impulse response,FIR)数字滤波器处理加速度计输出信息。	Before the car experiment, using the finite impulse response (finite impulse moisturiser response, FIR) digital filter processing accelerometer output information.
8095	实验结果表明,所提新方法能大幅提高零速修正的精度和实时性,东向位置误差在10m以内,北向位置误差在20m以内,实现了在连续行车条件下的高精度导航和误差标定。	The experiment results show that the proposed new method can significantly improve the accuracy of zero velocity correction and real-time, east to the position error within the 10 m, north to the position error within the 20 m, realized under the condition of continuous driving high precision navigation and error calibration.
8096	针对噪声未知情况下粒子滤波算法进行状态估计时准确性低的问题,对智能优化的代价评估粒子滤波算法进行研究。	Under unknown noise particle filtering algorithm for state estimation problem of low accuracy, and for the assessment of the costs of intelligent optimization particle filter algorithm is studied.
8097	结合代价评估粒子滤波算法特点设计了智能优化重采样策略,利用概率质量函数评价粒子的可信度,通过交叉变异操作引导粒子向风险较小的区域移动,改善基于风险和代价进行样本更新而导致的样本贫乏问题;	Combining with the characteristics of cost evaluation of particle filter algorithm to design the intelligent optimization of resampling strategy, using the probability mass function evaluation of the credibility of the particle, crossover and mutation operators by lead particles move in areas where the less risk, improve sample updates based on the risk and cost due to the poor sample problem;
8098	通过对风险较大粒子的变异,扩展了粒子的后验分布区域。	Based on the risk of larger particles variations, expanded the posterior distribution area of the particles.
8099	仿真结果表明,提出的智能优化代价评估粒子滤波算法具有良好的粒子优化性能,能在噪声统计特性未知情况下提高状态估计的精度。	The simulation results show that the proposed intelligent optimization cost evaluation of particle filter algorithm has a good particles to optimize performance, can under the condition of unknown noise statistics feature to improve the accuracy of state estimation.
8100	以战斗机携带空射诱饵弹被空空导弹攻击为背景,对战斗机使用空射诱饵弹协同规避导弹攻击进行研究。	To fighter planes carry air-launched bait is the background of air-to-air missile attack, the use of fighter air-launched bait play together around the missile attack was studied.
8101	建立了战斗机、空射诱饵弹及相对运动模型;	Fighters, air-launched bait was set up and the relative motion model;
8102	分析研究了协同规避导弹攻击原理,建立了协同规避关键技术模型。	Analyzed the synergy to evade missile attack principle, collaborative circumvent the key technology of model is established.
8103	在分阶段构建协同规避决策指标函数的基础上,建立了协同规避导弹攻击模型,提出了一种基于粒子群算法的战斗机使用空射诱饵弹协同规避方法。	In phases to build collaborative circumvent the decision on the basis of the index function of synergy to evade missile attack model, this paper proposes a fighter based on particle swarm algorithm using air-launched decoy flare to evade method together.