Pre-modulated multi-coset sampling system
At present, the compressed sampling system mainly includes three sampling system: random demodulator，modulated wideband converter and multi-coset sampling, among them, the system framework of multi-coset sampling is simple and has a high reconstruction success rate. But, the multi-coset sampling fac...
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National Computer System Engineering Research Institute of China
2022-04-01
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| Series: | Dianzi Jishu Yingyong |
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| Online Access: | http://www.chinaaet.com/article/3000148318 |
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| author | Huang Zhen Bai Zhengyao |
| author_facet | Huang Zhen Bai Zhengyao |
| author_sort | Huang Zhen |
| collection | DOAJ |
| description | At present, the compressed sampling system mainly includes three sampling system: random demodulator，modulated wideband converter and multi-coset sampling, among them, the system framework of multi-coset sampling is simple and has a high reconstruction success rate. But, the multi-coset sampling faces two difficulties in hardware implementation, one is that there is an upper limit on the input analog bandwidth of the low-speed analog-to-digital converter(ADC), and the other is it′s difficult to achieve precise delays on each channel. This paper draws on the ideal of modulated wideband converter which the input signal is pre-modulated before sampling, proposes the pre-modulated multi-coset sampling system which combines pre-modulation with multi-coset sampling. Before sampling, the generate periodic single-pulse sequences is generated by a random sequence generator in each channel of the sampling system, and the input signal is spectrally modulated to reduce the analog bandwidth of the signal before sampling. Then, the modulated signal is sampled by the low-speed ADC, and each channel of low-speed ADC and random sequence generator share a same control clock. Finally, the multiple signal classification algorithm(MUSIC) is used to reconstruct the input signal without distortion. The simulation results show that the mean square error of the reconstructed signal is at the order of 10-5 when the input signal is compressed and sampled at 15% Nyquist sampling rate. This verifies the feasibility of the sampling system in this paper, and the sampling system effectively overcome the two problems of the multi-coset sampling system. |
| format | Article |
| id | doaj-art-0b2fff3471de4accb76215d380971839 |
| institution | Kabale University |
| issn | 0258-7998 |
| language | zho |
| publishDate | 2022-04-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj-art-0b2fff3471de4accb76215d3809718392025-08-20T03:31:33ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982022-04-01484485210.16157/j.issn.0258-7998.2122213000148318Pre-modulated multi-coset sampling systemHuang Zhen0Bai Zhengyao1School of Information Science and Engineering，Yunnan University，Kunming 650500，ChinaSchool of Information Science and Engineering，Yunnan University，Kunming 650500，ChinaAt present, the compressed sampling system mainly includes three sampling system: random demodulator，modulated wideband converter and multi-coset sampling, among them, the system framework of multi-coset sampling is simple and has a high reconstruction success rate. But, the multi-coset sampling faces two difficulties in hardware implementation, one is that there is an upper limit on the input analog bandwidth of the low-speed analog-to-digital converter(ADC), and the other is it′s difficult to achieve precise delays on each channel. This paper draws on the ideal of modulated wideband converter which the input signal is pre-modulated before sampling, proposes the pre-modulated multi-coset sampling system which combines pre-modulation with multi-coset sampling. Before sampling, the generate periodic single-pulse sequences is generated by a random sequence generator in each channel of the sampling system, and the input signal is spectrally modulated to reduce the analog bandwidth of the signal before sampling. Then, the modulated signal is sampled by the low-speed ADC, and each channel of low-speed ADC and random sequence generator share a same control clock. Finally, the multiple signal classification algorithm(MUSIC) is used to reconstruct the input signal without distortion. The simulation results show that the mean square error of the reconstructed signal is at the order of 10-5 when the input signal is compressed and sampled at 15% Nyquist sampling rate. This verifies the feasibility of the sampling system in this paper, and the sampling system effectively overcome the two problems of the multi-coset sampling system.http://www.chinaaet.com/article/3000148318compressed sensingmulti-coset samplingpre-modulatedmusic algorithmmodulated wideband converter |
| spellingShingle | Huang Zhen Bai Zhengyao Pre-modulated multi-coset sampling system Dianzi Jishu Yingyong compressed sensing multi-coset sampling pre-modulated music algorithm modulated wideband converter |
| title | Pre-modulated multi-coset sampling system |
| title_full | Pre-modulated multi-coset sampling system |
| title_fullStr | Pre-modulated multi-coset sampling system |
| title_full_unstemmed | Pre-modulated multi-coset sampling system |
| title_short | Pre-modulated multi-coset sampling system |
| title_sort | pre modulated multi coset sampling system |
| topic | compressed sensing multi-coset sampling pre-modulated music algorithm modulated wideband converter |
| url | http://www.chinaaet.com/article/3000148318 |
| work_keys_str_mv | AT huangzhen premodulatedmulticosetsamplingsystem AT baizhengyao premodulatedmulticosetsamplingsystem |