基于航跡矢量檢測(cè)的雷達(dá)與電子支援設(shè)施抗差關(guān)聯(lián)算法
doi: 10.11999/JEIT180303 cstr: 32379.14.JEIT180303
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海軍航空大學(xué)信息融合研究所 煙臺(tái) 264001
Anti-bias Track Association Algorithm of Radar and Electronic Support Measurements Based on Track Vectors Detection
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Institute of Information Fusion, Naval Aviation University, Yantai 264001, China
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摘要:
針對(duì)雷達(dá)與電子支援設(shè)施(ESM)存在系統(tǒng)誤差、上報(bào)目標(biāo)不完全一致等復(fù)雜場(chǎng)景下目標(biāo)航跡關(guān)聯(lián)問(wèn)題，該文基于高斯隨機(jī)矢量統(tǒng)計(jì)特性，提出一種基于航跡矢量檢測(cè)的雷達(dá)與ESM航跡抗差關(guān)聯(lián)算法。首先在修正極坐標(biāo)系(MPC)下推導(dǎo)目標(biāo)狀態(tài)估計(jì)分解方程，采用真實(shí)狀態(tài)對(duì)消的方法得到航跡矢量，為剔除大部分非同源目標(biāo)航跡，構(gòu)建方位角變化率-距離變化率與距離比(ITG)統(tǒng)計(jì)量進(jìn)行粗關(guān)聯(lián)，然后采用基于航跡矢量
\begin{document}${\chi ^2}$\end{document} 檢驗(yàn)的方法實(shí)現(xiàn)雷達(dá)與ESM的航跡關(guān)聯(lián)。最后通過(guò)實(shí)驗(yàn)仿真驗(yàn)證了該文算法在不同系統(tǒng)誤差、目標(biāo)密度、檢測(cè)概率等環(huán)境下的有效性。
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關(guān)鍵詞:
- 航跡關(guān)聯(lián) /
- 系統(tǒng)誤差 /
- 雷達(dá) /
- 電子支援設(shè)施 /
- 航跡矢量 /
- 修正極坐標(biāo)系
Abstract:To address track-to-track association problem of radar and Electronic Support Measurements (ESM) in the presence of sensor biases and different targets reported by different sensors, an anti-bias track-to-track association algorithm based on track vectors detection is proposed according to the statistical characteristics of Gaussian random vectors. The state estimation decomposition equation is firstly derived in the Modified Polar Coordinates (MPC). The track vectors are obtained by the real state cancellation method. Second, In order to eliminate most non-homologous target tracks, the rough association is performed according to the features of the azimuthal rate and Inverse-Time-to-Go (ITG). Finally, the track-to-track association of radar and ESM is extracted based on track vectors chi-square distribution. The effectiveness of the proposed algorithm are verified by Monte Carlo simulation experiments in the presence of sensor biases, targets densities and detection probabilities.
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