无需预先测速的靶场弹丸落点定位算法实现

李鹏宇; 车录锋; 郑春雷

doi:10.11999/JEIT160316

无需预先测速的靶场弹丸落点定位算法实现

doi: 10.11999/JEIT160316

2.
(中国科学院上海微系统与信息技术研究所微系统技术国家级重点实验室上海 200050) ②(中国科学院大学北京 100049) ③(中国科学院上海微系统与信息技术研究所上海 200050)

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出版历程
- 收稿日期: 2016-04-01
- 修回日期: 2016-08-25
- 刊出日期: 2017-02-19

Landing Point Location Algorithm Without Velocity Measurement in Target Range

2.
(Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China)

摘要

摘要: 该文针对现有靶场弹丸落点定位系统需要提前测量波速，实际应用复杂，定位误差大等问题，提出一种无需预先测速的弹丸落点定位算法，此算法采用米字型传感器阵列，米字型阵列又可以分解成2组五元十字阵，通过来波方向(DOA)算法预先估计波速，然后把波束估计值代入到达时间差算法(TDOA)方程中计算初始位置，再把初始位置和估计波速作为参数代入到泰勒级数展开算法中，收敛定位。由于不需要预先人工测量波速，减少了波速测量误差，波速和定位位置都是在迭代算法中逐步收敛求精的，所以该算法提高了弹丸落点定位精度，减少了实际应用的复杂性。仿真算法也验证了此方法的可行性，在距离定位阵列1000 m范围内迭代算法都是收敛的。
- 弹丸落点定位 /
- 到达时间差算法 /
- 泰勒级数
Abstract: To overcome the large errors and complexity of measuring the wave velocity of landing point location algorithm in target range, a method based on poisoning algorithm without velocity measurement is proposed. Nine accelerate sensors constitute pozidriv shaped array, which also consists of 2 sets of five-element cross array. DOA algorithm is used to pre-estimate the wave velocity, then the wave velocity as the initial parameter is set into the equation to calculate the initial position. Lastly, as the parameters the initial position and the velocity are set into the Taylor iterative algorithm to get the final location result. Because wave velocity need not to be measurement, measurement error can be reduced, wave velocity and position value can be calculated by iteration algorithm, so this algorithm makes the landing point location more simple, more accurate. The simulation verifies that this method is measurable, and the iterative algorithm is convergent in the range of 1000 meters.
- Landing point location /
- Time Difference Of Arrival (TDOA) algorithm /
- Taylor series

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