快速高精度雙站距離空間投影定位算法

張曉玲; 余檑; 吳喜亮; 何蜀豐

doi:10.11999/JEIT151315

快速高精度雙站距離空間投影定位算法

doi: 10.11999/JEIT151315 cstr: 32379.14.JEIT151315

基金項(xiàng)目:

航空科學(xué)基金(20130180001, 20142080007)

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- 文章訪問(wèn)數(shù): 1349
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-11-25
- 修回日期: 2016-04-13
- 刊出日期: 2016-09-19

Fast and High Precision Multi-target Positioning via Imaging Strategy

Funds:

Aeronautical Science Foundation of China (20130180001, 20142080007)

摘要

摘要: 傳統(tǒng)的傳感器網(wǎng)絡(luò)多目標(biāo)定位方法面臨的關(guān)鍵問(wèn)題是目標(biāo)與回波數(shù)據(jù)之間的匹配關(guān)聯(lián)，而關(guān)聯(lián)過(guò)程會(huì)帶來(lái)計(jì)算量大以及如何準(zhǔn)確提取目標(biāo)的問(wèn)題?；诔上癫呗缘碾p站距離空間投影(Bistatic Range Space Projection, BRSP)定位算法可以有效地解決回波關(guān)聯(lián)問(wèn)題。然而，此算法存在運(yùn)算量較大以及定位精度較低的問(wèn)題。該文提出一種快速高精度雙站距離空間投影(Fast and High Precision Bistatic Range Space Projection)定位算法。該算法采用分層處理，先進(jìn)行低分辨率投影定位，獲取目標(biāo)可能區(qū)域，再以更高分辨率在目標(biāo)可能區(qū)域進(jìn)行投影定位，以減少運(yùn)算量。然后將定位結(jié)果作為初值，構(gòu)建方程組，利用泰勒級(jí)數(shù)展開(kāi)算法進(jìn)一步提高定位精度。仿真驗(yàn)證了該文所提方法的有效性，與BRSP定位算法相比，該文算法在提高定位精度的同時(shí)，相同硬件條件下定位速度可以提高數(shù)十倍，有利于實(shí)現(xiàn)實(shí)時(shí)定位。
- 傳感器網(wǎng)絡(luò) /
- 數(shù)據(jù)關(guān)聯(lián) /
- 成像策略 /
- 分層處理 /
- 泰勒級(jí)數(shù)展開(kāi)算法
Abstract: The association between multiple targets and echo data is the main problem for multi-target location method, which causes huge calculation and the problem of extracting the targets accurately. The location method based on Bistatic Range Space Projection (BRSP) can be used for the sake of overcoming the data association problem. While there are two problems existing on the location method of BRSP, the huge calculation and the low resolution. In the face of vast calculation in projection imaging localization, this paper utilizes hierarchical strategy to decrease calculation. The possible targets areas are located with low resolution at first. After that, more precision probable areas are pinpointed via higher resolution from these possible areas. In this way, the calculation of areas without targets can be avoided. Furthermore, results of hierarchical processing are used to be the initial position guess for Taylor-series estimation. Positioning errors could be modified by the iterative correction of Taylor-series estimation. Simulation results indicate a significant improvement in the running time and positioning precision of the proposed method.
- Sensor network /
- Data association /
- Imaging strategy /
- Hierarchical strategy /
- Taylor series expansion algorithm

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