基于单步加权最小二乘的战场集结定位算法
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国防科技重点实验室课题(6142205190401)


Battlefield assembly location algorithm based on single step weighted least squares
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    摘要:

    针对目前典型的非合作区域内,如空降兵战场集结情况下,快速、高精度、低成本定位难以同时满足的问题,基于无源时差定位技术,结合实际布站和连续定位等特点,提出了一种单步加权最小二乘算法。根据时差定位技术的特点,在区域网分布式无线通信过程中,记录通信方到达各个基站的时间戳,得到时差信息,首次定位时进行两步加权最小二乘,非首次定位时利用上一次定位结果先验信息作为本次定位输入,将两步加权最小二乘简化为单步加权最小二乘。结果表明,在固定布站和随机布站情况下,6站到8站是布站资源消耗和定位精度相结合下较优的布站选择,通过相较于其他算法,新算法在-10~-20 dB信噪比下,均有较好的定位精度。故所提算法在特殊场景下能够实现较为快速、准确的定位,在随机布站时也有较好的性能,为降低算法在实际应用过程中的复杂度提供了参考。

    Abstract:

    Aiming at the problem that fast,high-precision and low-cost positioning is difficult to meet in typical non-cooperative areas,such as the battlefield assembly of airborne troops,a single-step weighted least squares algorithm was proposed based on the passive time difference positioning technology and the characteristics of actual station positioning and continuous positioning.According to the characteristics of the time difference location technology,the communication timestamp to each base station was recorded in the process of regional network distributed wireless communication,and the jet lag information was obtained.The two-step weighted least squares was implemented at first positioning,while the last positioning result was used as a prior information for the location input,simplifying the two-step weighted least squares to one-step weighted least squares.The results show that 6 to 8 stations are better location choices with the combination of station resource consumption and location accuracy for fixed station and random station.Compared with other algorithms,the location accuracy is better when the SNR is -10 to -20 dB.In special scenarios,the algorithm can achieve fast and accurate location,and has good performance under random station,which provides a reference for reducing the complexity of the algorithm in practical application.

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赵玉超,袁宏拓,孙 铭.基于单步加权最小二乘的战场集结定位算法[J].河北科技大学学报,2022,43(1):42-49

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  • 收稿日期:2021-10-04
  • 最后修改日期:2021-11-17
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  • 在线发布日期: 2022-03-03
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