三維空間中高超聲速目標(biāo)修正三級(jí)Hough變換-檢測(cè)前跟蹤算法
doi: 10.11999/JEIT170622 cstr: 32379.14.JEIT170622
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61731023, 61372027, 61501489, 61671462, 61701519),泰山學(xué)者建設(shè)工程專(zhuān)項(xiàng)經(jīng)費(fèi)
Modified Triple-stage Hough Transform Track-before-detect Algorithm in Three-dimensional Space for Hypersonic Target
Funds:
The National Natural Science Foundation of China (61731023, 61372027, 61501489, 61671462, 61701519), Distinguished Taishan Scholars in Climbing Plan
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摘要: 針對(duì)大型相控陣?yán)走_(dá)對(duì)于臨近空間高超聲速目標(biāo)的檢測(cè)跟蹤問(wèn)題,該文提出一種修正的3級(jí)Hough變換(MTS-HT)檢測(cè)前跟蹤算法。首先,為了解決直接進(jìn)行3維Hough變換計(jì)算量大的問(wèn)題,將3維點(diǎn)跡依次降維映射至徑向距離-時(shí)間、方位角-時(shí)間和仰角-時(shí)間3個(gè)平面進(jìn)行2維Hough變換;其次,為了能夠在充分利用點(diǎn)跡能量信息的基礎(chǔ)上盡量減小強(qiáng)干擾的影響,在每級(jí)Hough變換中采用非相參積累和二值積累相結(jié)合的雙重積累方式進(jìn)行點(diǎn)跡篩選;最后,通過(guò)引入運(yùn)動(dòng)約束以及合并相似航跡的方式進(jìn)行航跡精簡(jiǎn),從而有效降低虛假航跡數(shù),得到按照時(shí)序關(guān)聯(lián)的最終檢測(cè)航跡。仿真結(jié)果表明,該算法具有較高的航跡檢測(cè)概率和較低的虛假航跡檢測(cè)概率,可以實(shí)現(xiàn)對(duì)臨近空間高超聲速目標(biāo)的有效檢測(cè)跟蹤。
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關(guān)鍵詞:
- 目標(biāo)檢測(cè) /
- 檢測(cè)前跟蹤 /
- 臨近空間 /
- 高超聲速目標(biāo) /
- 3維Hough變換 /
- 回波能量
Abstract: In view of detection and tracking issue with large phased array radar for near-space hypersonic targets, a Modified Triple-Stage Hough Transform (MTS-HT) Track-Before-Detect (TBD) algorithm is proposed. Firstly, in order to reduce huge computational load problem from direct three-dimensional Hough transform, three- dimensional measurement points are mapped into range-time plane, azimuth-time plane and elevation-time plane in turn for two-dimensional Hough transforms. Besides, to decrease the impact from strong interference, meanwhile, make full use of energy information of points, point selection is carried on by double integration means of non-coherent integration and binary integration in every stage. Finally, false trajectory will be reduced effectively by motion constraints as well as merging of similar trajectories and the final trajectory from sequence association can be obtained. Simulation results show that proposed algorithm can realize effective detection and tracking for near-space hypersonic targets with relatively high trajectory detection probability and low false trajectory detection probability. -
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