無需預先測速的靶場彈丸落點定位算法實現(xiàn)

李鵬宇; 車錄鋒; 鄭春雷

doi:10.11999/JEIT160316

無需預先測速的靶場彈丸落點定位算法實現(xiàn)

doi: 10.11999/JEIT160316

2.
(中國科學院上海微系統(tǒng)與信息技術研究所微系統(tǒng)技術國家級重點實驗室上海 200050) ②(中國科學院大學北京 100049) ③(中國科學院上海微系統(tǒng)與信息技術研究所上海 200050)

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出版歷程
- 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: 該文針對現(xiàn)有靶場彈丸落點定位系統(tǒng)需要提前測量波速，實際應用復雜，定位誤差大等問題，提出一種無需預先測速的彈丸落點定位算法，此算法采用米字型傳感器陣列，米字型陣列又可以分解成2組五元十字陣，通過來波方向(DOA)算法預先估計波速，然后把波束估計值代入到達時間差算法(TDOA)方程中計算初始位置，再把初始位置和估計波速作為參數(shù)代入到泰勒級數(shù)展開算法中，收斂定位。由于不需要預先人工測量波速，減少了波速測量誤差，波速和定位位置都是在迭代算法中逐步收斂求精的，所以該算法提高了彈丸落點定位精度，減少了實際應用的復雜性。仿真算法也驗證了此方法的可行性，在距離定位陣列1000 m范圍內(nèi)迭代算法都是收斂的。
- 彈丸落點定位 /
- 到達時間差算法 /
- 泰勒級數(shù)
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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參考文獻(27)

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