高動態(tài)環(huán)境下長碼擴頻信號快捕算法
doi: 10.11999/JEIT150860
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1.
(重慶大學(xué)通信工程學(xué)院 重慶 400044) ②(重慶大學(xué)通信與測控中心 重慶 400044)
基金項目:
國家863計劃(2015AA7072014C)，中央高?；究蒲袠I(yè)務(wù)費資金(106112013CDJZR165502, 106112013CDJZR160013, 106112013CDJZR1160014)
Rapid DSSS Signal Acquisition Algorithm under High Dynamic Environment
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1.
(College of Communication Engineering, Chongqing University, Chongqing 400044, China)
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2.
(Center of Communication and Tracking Telemetering &
Funds:
The National 863 Program of China (2015AA 7072014C), The Fundamental Research Funds for Central Universities (106112013CDJZR165502, 106112013CDJZR160013, 106112013 CDJZR1160014)
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摘要: 針對高速高動態(tài)接收機在長偽碼周期、大頻偏情況下的快速捕獲問題，該文提出一種基于碼相位壓縮相關(guān)器與快速傅里葉變換(CCPC-FFT)的雙駐留偽碼快速捕獲方法。在第一駐留階段，利用碼相位壓縮相關(guān)器對相鄰碼相位進行快速、粗略的壓縮搜索，同時利用FFT算法完成對多普勒頻偏的并行捕獲；在第二駐留階段，利用傳統(tǒng)的相關(guān)積分方法對第一駐留捕獲的所有碼相位進行逐個精確搜索。給出了系統(tǒng)性能的理論分析模型，并通過蒙特卡洛仿真驗證了理論分析的正確性。最后仿真結(jié)果表明：新方法在平均捕獲時間上比2維壓縮相關(guān)(TDCC)捕獲方法進一步縮短，同時提高了頻偏的捕獲帶寬和精度，且針對長碼的捕獲比其他基于FFT的方法節(jié)省資源。
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關(guān)鍵詞:
- 擴頻通信 /
- 偽碼捕獲 /
- 壓縮相關(guān) /
- 快速傅里葉變換 /
- 雙駐留搜索
Abstract: For high speed and high dynamic receiver, using long pseudo-noise code, seriously affected by Doppler frequency offset, this paper proposes a double dwell pseudo-noise code acquisition method based on Compressed Code Phase Correlator (CCPC) and FFT. In the first dwell search a rapid and rough compressed search is performed for some neighboring code phase using CCPC, and at the same time the parallel search for Doppler frequency offset using FFT is completed. In the second dwell, all the neighboring code phases acquired in the first dwell are searched accurately using conventional correlator. The theoretical performance analysis model for the proposed method is presented, whose correctness is validated by Monte Carlo simulation. The simulation result shows that the proposed method has obvious advantages compared to Two-Dimensional Compressed Correlator (TDCC) on Mean Acquisition Time (MAT), as well as on the bandwidth and precision of Doppler frequency. Less resources are consumed than other methods based on FFT when using long pseudo-noise code. -
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