Reliable and efficient phase shift calibration algorithm for DMWC

The distributed modulated wideband converter (DMWC) is a kind of sub-Nyquist sampling system which randomly moves the sparse wideband signal spectrum to the baseband to realise low-speed sampling. ...

[1]  E. Candès,et al.  Sparsity and incoherence in compressive sampling , 2006, math/0611957.

[2]  Justin K. Romberg,et al.  Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.

[3]  Huali Wang,et al.  Spectrum Sensing Using Co-Prime Array Based Modulated Wideband Converter , 2017, Sensors.

[4]  Luca De Vito,et al.  A Histogram-Based Segmentation Method for Wideband Spectrum Sensing in Cognitive Radios , 2013, IEEE Transactions on Instrumentation and Measurement.

[5]  S. Kirolos,et al.  Analog-to-Information Conversion via Random Demodulation , 2006, 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software.

[6]  S. Kirolos,et al.  A prototype hardware for random demodulation based compressive analog-to-digital conversion , 2008, 2008 51st Midwest Symposium on Circuits and Systems.

[7]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[8]  Jian Li,et al.  Broadband Cooperative Spectrum Sensing Based on Distributed Modulated Wideband Converter , 2016, Sensors.

[9]  Yonina C. Eldar,et al.  Xampling: Analog to digital at sub-Nyquist rates , 2009, IET Circuits Devices Syst..

[10]  Cheng-Xiang Wang,et al.  Wideband spectrum sensing for cognitive radio networks: a survey , 2013, IEEE Wireless Communications.

[11]  Erik G. Larsson,et al.  Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances , 2012, IEEE Signal Processing Magazine.

[12]  Heung-No Lee,et al.  A calibration for the modulated wideband converter using sinusoids with unknown phases , 2017, 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN).

[13]  Yonina C. Eldar,et al.  From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.

[14]  Jian Wang Support Recovery With Orthogonal Matching Pursuit in the Presence of Noise , 2015, IEEE Transactions on Signal Processing.

[15]  Yonina C. Eldar,et al.  Joint spectrum sensing and direction of arrival recovery from sub-Nyquist samples , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[16]  Yong Bai,et al.  A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing , 2018, Sensors.

[17]  Håkan Johansson,et al.  Efficient Recovery of Sub-Nyquist Sampled Sparse Multi-Band Signals Using Reconfigurable Multi-Channel Analysis and Modulated Synthesis Filter Banks , 2015, IEEE Transactions on Signal Processing.

[18]  Yonina C. Eldar,et al.  Hardware calibration of the modulated wideband converter , 2014, 2014 IEEE Global Communications Conference.

[19]  Yonina C. Eldar,et al.  CaSCADE: Compressed Carrier and DOA Estimation , 2016, IEEE Transactions on Signal Processing.