壓縮域直擴(kuò)測(cè)控通信信號(hào)偽碼跟蹤方法研究

程艷合*; 楊文革

doi:10.11999/JEIT141654

壓縮域直擴(kuò)測(cè)控通信信號(hào)偽碼跟蹤方法研究

doi: 10.11999/JEIT141654

程艷合*¹,
楊文革¹

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出版歷程
- 收稿日期: 2014-12-29
- 修回日期: 2015-03-30
- 刊出日期: 2015-08-19

Study on Pseudo-noise Code Tracking Method for Compressive Domain Direct Sequence Tracking Telemetry and Command Communication Signals

Cheng Yan-he¹,
Yang Wen-ge¹

摘要

摘要: 壓縮感知理論已經(jīng)在測(cè)控(TTC)通信相關(guān)領(lǐng)域有初步應(yīng)用嘗試，能夠有效降低采樣率和數(shù)據(jù)率，但同時(shí)其重構(gòu)算法復(fù)雜度偏高、計(jì)算資源消耗過大，這與系統(tǒng)的實(shí)時(shí)性要求之間存在矛盾。論文基于直擴(kuò)測(cè)控(DS TTC)通信信號(hào)稀疏性，對(duì)傳統(tǒng)偽碼跟蹤環(huán)進(jìn)行改進(jìn)，提出一種基于隨機(jī)解調(diào)壓縮采樣的壓縮域偽碼跟蹤環(huán)。該環(huán)路不再需要進(jìn)行信號(hào)重構(gòu)處理，能夠直接從直擴(kuò)測(cè)控通信信號(hào)的壓縮采樣值中提取偽碼(PN)延時(shí)相位信息。該文首先深入分析所提出環(huán)路模型及其鑒別特性，其次通過研究交叉噪聲特性，對(duì)跟蹤精度進(jìn)行理論分析。分析和仿真結(jié)果表明，所提出環(huán)路能夠在壓縮域?qū)崿F(xiàn)偽碼延時(shí)相位跟蹤。該環(huán)路可以應(yīng)用在基于壓縮感知的直擴(kuò)、混擴(kuò)信號(hào)處理等相關(guān)領(lǐng)域，具有一定工程應(yīng)用價(jià)值。
- 偽碼跟蹤 /
- 壓縮感知 /
- 跟蹤精度 /
- 載波輔助 /
- 野值剔除
Abstract: Compressive sensing has a preliminary application to the field of Tracking, Telemetry, and Command (TTC) and communication, which can effectively decrease sampling and data rate, but there is a contradiction between the real-time requirement and the computationally expensive recovery algorithm. In this paper, based on the sparsity of Direct Sequence (DS) TTC and communication signals, a compressive domain Pseudo-Noise(PN) code tracking loop based on random demodulation compressive sampler is proposed. The loop can directly extract the code phase from compressive signal samples, which does not need to recover original signal. Firstly, the loop model and its identification characteristics are analyzed. Secondly, through research on cross noise, tracking accuracy is analyzed. Theoretical analysis and simulation results show that the proposed loop can track PN code phase in compressive domain. The loop may have an important application value to the field of DS Spread Spectrum (SS) and DS/Frequency Hopping (FH) Hybrid SS (HSS) signal processing based on compressive sensing.
- Pseudo-Noise (PN) code tracking /
- Compressive sensing /
- Tracking accuracy /
- Carrier auxiliary /
- Outliers eliminating

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