The approximate correction of the additive white noise model in quantized Kalman filter is investigated under certain conditions. The probability density function of the error of quantized measurements is analyzed theoretically and experimentally. The analysis is based on the probability theory and nonparametric density estimation technique, respectively. The approximator of probability density function of quantized measurement noise is given. The numerical results of nonparametric density estimation algorithm demonstrate that the theoretical conclusion is reasonable. Based on the analysis of quantization noise, a novel algorithm for state estimation with quantized measurements also is proposed. The algorithm is based on the least-squares estimator and unscented transform. By least-squares estimator, the effective information is extracted from the quantized measurements. Also, using the information to update the estimated state can give a better estimation under the influence of quantization. The root mean square error (RMSE) of the proposed algorithm is compared with the RMSE of the existing methods for a typical tracking scenario in wireless sensor networks systems. Simulations provide a strong evidence that this tracking algorithm could indeed give us a more precise estimated result.
驾驶舱的空气速度场和温度场直接影响驾驶员的热舒适和工效,是驾驶舱结构和环境控制系统设计中考虑的重要内容.对B737-800驾驶舱进行全尺寸三维建模,以高空夜航工作情况为例,采用商用CFD(Computational Fluid Dynamics)软件Fluent计算该驾驶舱的流场和温度场,再用平均温度评价指标和热环境综合评价指标PMV(Predicted Mean Vote)来对驾驶舱进行温度环境客观评价,并采用问卷调查法对飞行员进行驾驶舱内部空气流速和温度舒适度的主观评价.数值仿真结果与主观评价结果都得出B737-800驾驶舱在高空夜航时基本处于舒适的环境,除躯干和脚部由于偏凉而略感不舒适.数值仿真结果与客观评价结果的一致性,验证了大型客机驾驶舱气流热仿真的准确性.
