Zihang Song
ABSTRACT
A real-time sub-Nyquist wideband spectrum sensing system for millimeter wave (mmWave) implemented on National Instruments mmWave software-defined radio system is presented. Based on compressed sensing theory and multicoset sampling architecture, the system is capable of achieving real-time spectrum sensing of 3.072 $\textGHz $-bandwidth signal at the centre frequency of 28.5 $\textGHz $. Bayesian sparsity estimation and data decimation are applied to realize robust performance of spectrum reconstruction under dynamic spectrum scenarios and enable real-time processing, respectively. This paper presents and comments on the impact of noise corruption, spectrum sparsity on the recovery performance and evaluates two low-complexity sparse recovery greedy algorithms of interest.
- [n.d.]. Getting Started Guide - 2 GHz Bandwidth mmWave Transceiver System. Technical Report. National Instruments. http://www.ni.com/ pdf/manuals/376531c.pdfGoogle Scholar
- Ahmed Alkhateeb, Omar El Ayach, Geert Leus, and Robert W Heath. 2014. Channel estimation and hybrid precoding for millimeter wave cellular systems. IEEE Journal of Selected Topics in Signal Processing 8, 5 (2014), 831--846.Google ScholarCross Ref
- T. W. Anderson. 1963. Asymptotic Theory for Principal Component Analysis. Ann. Math. Stat. 34, 1 (1963), 122--148.Google ScholarCross Ref
- Hakan Johansson and Per Lowenborg. 2002. Reconstruction of nonuniformly sampled bandlimited signals by means of digital fractional delay filters. IEEE Transactions on Signal Processing 50, 11 (2002), 2757--2767.Google ScholarDigital Library
- Z. Lu and A. M. Zoubir. 2012. Source enumeration using the pdf of sample eigenvalues via information theoretic criteria. In IEEE Int. Conf. Acoust., Speech and Signal Process. 3361--3364.Google Scholar
- Moshe Mishali and Yonina C Eldar. 2009. Blind multiband signal reconstruction: Compressed sensing for analog signals. IEEE Transactions on Signal Processing 57, 3 (2009), 993--1009.Google ScholarDigital Library
- Haoran Qi, Xingjian Zhang, and Yue Gao. 2018. Subspace-Aided Low- Complexity Blind Compressive Spectrum Sensing over TV Whitespace. In IEEE Global Communications Conference.Google ScholarDigital Library
- Zhijin Qin, Yue Gao, Mark D. Plumbley, and Clive G. Parini. 2016. Wideband Spectrum Sensing on Real-Time Signals at Sub-Nyquist Sampling Rates in Single and Cooperative Multiple Nodes. IEEE Transactions on Signal Processing 64, 12 (2016), 3106--3117.Google ScholarDigital Library
- J. A. Tropp, A. C. Gilbert, and M. J. Strauss. 2005. Simultaneous sparse approximation via greedy pursuit. In IEEE Int. Conf. Acoust., Speech, and Signal Process., Vol. 5. v/721--v/724 Vol. 5.Google Scholar
- Wenyuan Xu and M. Kaveh. 1995. Analysis of the performance and sensitivity of eigendecomposition-based detectors. IEEE Transactions on Signal Processing 43, 6 (Jun. 1995), 1413--1426.Google Scholar
- Tom Zahavy, Oran Shayer, Deborah Cohen, Alex Tolmachev, and Yonina C Eldar. 2014. Sub-Nyquist sampling of OFDM signals for cognitive radios. In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 8092--8096.Google ScholarCross Ref
Index Terms
- Real-time Multi-Gigahertz Sub-Nyquist Spectrum Sensing System for mmWave
Recommendations
Centralized sub-Nyquist wideband spectrum sensing for cognitive radio networks over fading channels
AbstractCurrently, Cognitive Radio (CR) technology is expected to maximize the use of spectrum resources in next generation wireless systems. Hence, Spectrum Sensing (SS) is key to enable CR to gather knowledge from the spectral resources ...
Wideband Power Spectrum Sensing for Cognitive Radios Based on Sub-Nyquist Sampling
In a cognitive radio system, efficient wideband spectrum estimation is a basic component of dynamic spectrum access. The systems high sampling rate is the main challenge in the frontend. In this paper, wideband power spectrum sensing is studied based on ...
Sub-Nyquist sampling-based wideband spectrum sensing: a compressed power spectrum estimation approach
AbstractIn this paper, we introduce a sub-Nyquist sampling-based receiver architecture and method for wideband spectrum sensing. Instead of recovering the original wideband analog signal, the proposed method aims to directly reconstruct the power spectrum ...
Comments