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Description: 曲线模型的半自适应交互多模型跟踪方法
我存的一篇论文，拿来与大家共享-When using interactive multiple model (IMM) to track targets,to select smallermodel set to better cover the move-
ment property and the maneuvering level of various targets and meanwhile to reduce computation complexity are both worthwhile and
also necessary research tasks to project implementation.The main work is done through the IMM algorithm of curvilinear model,the
construction of angle velocity estimation model and the extension of it to state equations,whichmake it possible for normal acceleration
to be self-adaptively adjusted,hence it reduces the model setto associate onlywithMcurvilinearmodels selatingtotangential acceler-
ation.Computation burden is reduced and algorithm’s applying range is extended.The simulation further proves the conclusion
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Size: 39936 |
Author: dailu |
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Description: accelerator sensor with c
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Size: 11264 |
Author: masato |
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Description: 基于ADXL335加速度传感器的Atmel ATmega48/88/168 series代码-This is an AVR-GCC program designed for the Atmel ATmega48/88/168 series. It reads in three analog
inputs, signifying the acceleration in the X, Y, and Z axes, and displays what it sees as PWM outputs to
six LEDs on the output compare lines of the three timers.
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Size: 3072 |
Author: yhgg |
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Description: 提出了微惯性测量单元( MIMU) 在高动态、高过载复杂应用条件下的误差整机标定和补偿方法。首先, 建立了高动态, 高过载复杂应用条件下MIMU 的误差模型, 该模型包括了结构误差, 传感器安装误差和MEMS 惯性传感器在复杂条件对精度影响较大的误差项, 指零位温度漂移、互耦误差、刻度因子非线性和微陀螺加速度效应误差; 根据模型提出了整机标定补偿方法, 该方法可以标定MIMU 的63 个误差系数, 并且不需要对单个传感器进行标定。然后, 介绍了利用最小二乘法对模型进行误差系数标定的方法和步骤, 并对自研的MIMU 进行了标定。(T he entire calibrat ion and compensat ion metho d o f a Miniature Inerial Measur ement U nit( MIMU) in high dy namic and o verload complicate environments w as pr opo sed. First ly, an error model applied to the complicate applicat ion environment s w as established, which consist s o f the structureer rors, installatio n misalignment errors and the erro rs of the MEMS sensors including zero outputdrif t, temperature drif t , crossax is error, no nlinear scale factor erro r and acceler at ion effect err or of
gyr oscope. Based o n the model, the ent ire cal ibrat io n and compensat ion method w as pr opo sed to calibrate 63 er ror co ef ficient s w ithout calibrat ion of each MEMS iner tial sensor separ ately. T hen, thegeneralized least square algor ithm was used to calibrate and calculate the er ror coef ficient s. Finally, a
MIMU was dev elo ped for a f light ex periment and w as calibrated w ith this pro posed method.)
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Size: 539648 |
Author: guyan
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