Alignment algorithms for boresight and instrument calibration of a gimballed sensor

P. Kim, L. Glaros
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Abstract

Summary form only given. The authors present a practical application of an attitude match algorithm useful for correcting boresight errors of an airborne LOS (line-of-sight) tracking sensor system. In order to provide high-quality information to other sensor and/or weapon control system, the tracker must be accurately aligned to a common attitude coordinate frame. It operates by comparing computed attitude from a high-quality aircraft INU, with the attitude computed using a gimballed gyro package inside of the sensor system. The residual attitude differences measured during aircraft and gimbal maneuvers are a direct indication of mechanical misalignment, tracker initial attitude errors, gimbal biases, and gyro uncertainties, and are used in a Kalman filter to estimate these quantities. A detailed analysis of a transfer alignment and instrument calibration filter for a gimballed sensor has been carried out. A filter sizing study has been performed, and the sensitivity of the suboptimal filter to the unmodeled error states and the incorrectly modeled measurement noise and errors has been investigated.<>
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万向节传感器轴视和仪器校准的对准算法
只提供摘要形式。给出了一种姿态匹配算法的实际应用,该算法可用于纠正机载LOS(视距)跟踪传感器系统的轴视误差。为了向其他传感器和/或武器控制系统提供高质量的信息,跟踪器必须精确地对准一个共同的姿态坐标框架。它通过比较高质量飞机INU的计算姿态和传感器系统内部的平衡陀螺仪包计算的姿态来运行。在飞机和云台机动期间测量的剩余姿态差是机械失调、跟踪器初始姿态误差、云台偏差和陀螺不确定性的直接指示,并用于卡尔曼滤波器来估计这些量。详细分析了一种用于万向节传感器的传递对准和仪器校准滤波器。进行了滤波器尺寸研究,并研究了次优滤波器对未建模的误差状态和不正确建模的测量噪声和误差的敏感性
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