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地磁导航是通过对地球周围矢量磁场进行测量从而实现导航的一种方法. 地磁导航在运动平台上应用的难点之一是平台剩磁对地磁测量的影响, 严重污染了磁强计的测量. 消除平台剩磁对地磁测量的影响是地磁导航向应用转化的一项关键技术. 为实现运动平台剩磁的有效测量与估计, 提出了基于递推最小二乘法的运动平台剩磁差分测量与估计方法. 基于载体干扰磁场值只与测量点到磁偶极子的距离和磁偶极子的磁矩有关的结论, 根据磁偶极子的磁场分布特性, 推导出一种基于内置磁强计阵列的运动平台剩磁差分估计模型, 并通过递推最小二乘法求解差分估计模型. 大量仿真实验表明, 可以通过内置阵列磁强计对平台剩磁进行测量与估计, 验证了所提出的平台剩磁估计方法的有效性.

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The temperature difference of fruit itself will affect its near infrared spectrum and the accuracy of its soluble solids content (SSC) prediction model. To eliminate the influence of apple temperature difference on the SSC model, a diffuse transmission dynamic online detection device was used to collect the spectral data of apples at different temperatures, and four methods were used to establish partial least squares correction models: global correction, orthogonal signal processing, generalized least squares weighting and external parameter orthogonal (EPO). The results show that the temperature has a strong influence on the diffuse transmission spectrum of apples. The 20 ºC model can get a satisfactory prediction result when the temperature is constant, and there will be great errors when detecting samples at other temperatures. The effect of temperature must be corrected to establish a more general model. These methods all improve the accuracy of the model, with the EPO method giving the best results; the prediction set correlation coefficient is 0.947, the root mean square error of prediction is 0.489%, and the prediction bias is 0.009%. The research results are of great significance to the practical application of SSC prediction of fruits in sorting workshops or orchards. [ABSTRACT FROM AUTHOR]

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