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A Novel Single Satellite Passive Location Method Based on One-Dimensional Cosine Angle and Doppler Rate of Changing

机译:一种基于一维余弦角和多普勒变化率的新型卫星无源定位方法

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摘要

For the characteristics of microsatellites such as small size, light weight, and limited equipment resources, a novel single-satellite passive location method that combines one-dimensional (ID) cosine angle and Doppler rate of changing is proposed. Compared with the conventional single satellite method using two-dimensional interferometers, the proposed method can reduce the system cost. Aiming at dealing with the high degree of non-linearity between measurement equations and the emitter position, an orthogonal cosine angle parameterization based multi-hypothesis nonlinear least square (OCAP-MHNLS) algorithm is proposed here. The performance influenced by angle between the direction of receiving antenna linear array and the satellite movement heading is analyzed by the geometric dilution of precision (GDOP). Computer simulations show that the location algorithm proposed in this paper can reach Cramer-Rao lower bound (CRLB) under the condition of typical measurement errors.
机译:对于微卫星的特性,例如小尺寸,重量轻,有限的设备资源,提出了一种结合一维(ID)余弦角和更换多普勒率的新型单卫星无源定位方法。与使用二维干涉仪的传统单卫星方法相比,所提出的方法可以降低系统成本。旨在处理测量方程和发射极位置之间的高度非线性,这里提出了基于正交的余弦角参数化的基于正起的多假设非线性最小二乘(OCAP-MHNL)算法。通过精度(GDOP)的几何稀释分析了接收天线线性阵列方向与卫星运动标题之间的角度影响的性能。计算机模拟表明,本文提出的位置算法可以在典型测量误差的条件下到达Cramer-Rao下限(CRLB)。

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