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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 5

Adaptive and blind spectrum sensing algorithm for dynamic sparse order estimation

Liang Yana,b
Wang Jinga,b
Shao Kaia
a. School of Communication & Information Engineering, b. Chongqing Key Laboratory of Signal & Information Processing, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0366

Abstract

Due to the constrains of the Nyquist Shannon sampling theorem, the primary challenge of widedband spectrum sensing(WSS) is the acquisition and recovery of widedband signals. A dynamic sparse order estimation(SOE) Adaptive and Blind Compressed Spectrum Sensing(ABCSS) was proposed in this paper according to the Adaptive Compressed Spectrum Sensing(ACSS) . In ABCSS, a modulated broadband converter (MWC) structure was adopted and the generalized information criterion (GIC) algorithm was applied to the ACSS time slot scheme to achieve dynamic SOE for solving the static SOE problem of the GIC algorithm. Furthermore a GIC-OMPa algorithm was designed in conjunction with the instantaneous value of SOE to ensure the real-time and accuracy of signal reconstruction. Based on the fixed step size sampling rate in ACSS, a dynamic sampling rate adjustment strategy was designed by combining SOE instantaneous values and feedback functions. A step compensation value was designed by statistical analysis of experimental data to improve time performance and compress sampling rate performance. Compared with the ACSS method, the results indicate that ABCSS achieves at least 0.9 detection probability in less time, while effectively reducing the false alarm probability; When the frequency occupation is greater than 22, the compression sampling rate is lower. The ABCSS algorithm enhances both the real-time performance and the compression sampling rate performance of WBSS compared to ACSS.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0366
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

梁燕, 王晶, 邵凯. 动态稀疏阶估计的自适应盲频谱感知算法 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0366. (Liang Yan, Wang Jing, Shao Kai. Adaptive and blind spectrum sensing algorithm for dynamic sparse order estimation [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0366. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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