| 研究課題/領域番号 |
15K06072
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| 研究機関 | 秋田県立大学 |
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研究代表者 |
徐 粒 秋田県立大学, システム科学技術学部, 教授 (40252324)
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| 研究分担者 |
桂 冠 秋田県立大学, システム科学技術学部, 特任助教 (80734904) [辞退]
松下 慎也 秋田県立大学, システム科学技術学部, 准教授 (20435449)
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| 研究期間 (年度) |
2015-04-01 – 2019-03-31
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| キーワード | sub-Nyquist sampling / MIMO comunication system / least mean square (LMS) / sparse signal processing / adaptive filtering / channel identification |
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| 研究実績の概要 |
As the main task in the FY2015, sub-Nyquist adaptive sampling techniques and adaptive sparse signal identification techniques have been intensively investigated, and the obtained results are briefly summarized as follows:
A compressive sensing (CS) based sub-Nyquist adaptive sampling technique has been developed, by utilizing l_0-NLMS (normalized least mean square) algorithm and DHT (discrete Hartley transform), for random demodulation sampling in the frequency domain. The proposed method has low computational complexity and better robustness to noise than the existing methods, and can be applied to the realization of low-speed ADC based MIMO radar systems.
CS-based low-complexity identification techniques have been proposed by using adaptive sparse algorithms to achieve better performance for large-scale MIMO systems under different circumstances. Specifically, an effective large-scale MIMO channel identification method by using affine combination of sparse adaptive filtering has been developed to achieve low-complexity, and, by utilizing the mixed square/fourth error criterion, improved adaptive sparse signal identification methods, e.g., zero-attracting least mean square/fourth (ZA-LMS/F) algorithm and reweighted ZA-LMS/F (RZA-LMS/F) algorithm, have been established.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The main goals of developing new sub-Nyquist adaptive sampling techniques and adaptive sparse signal identification techniques for FY2015 have been fulfilled smoothly almost as expected and some of the obtained results have already been published as journal/conference papers (see the publication list for the details), which will provide a fundamental and sound base for further exploration of this research.
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| 今後の研究の推進方策 |
In the next stage of this research project, the main goal is, just as scheduled in the detailed research plan, to develop super-resolution large-scale MIMO radar technologies with the SL3 requirements, via establishing advanced beamforming strategies for large-scale MIMO radar transmitter, modeling low-speed ADC based large-scale MIMO radar system, developing super-resolution identification strategies and algorithms, and verifying the proposed techniques by theoretical analysis as well as numerical simulation.
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| 次年度使用額が生じた理由 |
A very little amount (\71) was left just because it was difficult to find an item that exactly cost this amount.
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| 次年度使用額の使用計画 |
This small amount will be used up together with the budget of the next fiscal year.
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