A 0.25–3.25-GHz Wideband CMOS-RF Spectrum Sensor for Narrowband Energy Detection

A wideband spectrum sensing system for cognitive radio is designed and implemented in a 130-nm radio frequency mixed-mode CMOS technology. The system employs an I-Q downconverter, a pair of complex filters, and a pair of envelope detectors to perform the spectrum sensing from 250 MHz to 3.25 GHz. The design makes use of the bandpass nature of the complex filter to achieve two objectives: 1) separation of upper sideband and lower sideband around the local oscillator signal and 2) resolution of smaller bands within a large detection bandwidth. The measured sensitivity is close to -45 dBm for a single tone test over a bandwidth of 40 MHz. The measured image reject ratio is close to 30 dB. The overall wideband detection bandwidth is 250 MHz, which is partitioned into 40-MHz narrowband chunks with eight such overlapping chunks.

[1]  H. Vincent Poor,et al.  Spectrum Sensing in Cognitive Radios Based on Multiple Cyclic Frequencies , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[2]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[3]  Omar A. M. Aly Two-stage spectrum sensing algorithm for low power signals in cognitive radio , 2013, 2013 Saudi International Electronics, Communications and Photonics Conference.

[4]  Tzyy-Sheng Horng,et al.  A Novel RF Sensing Circuit Using Injection Locking and Frequency Demodulation for Cognitive Radio Applications , 2009, IEEE Transactions on Microwave Theory and Techniques.

[5]  Joy Laskar,et al.  A 122-mW Low-Power Multiresolution Spectrum-Sensing IC With Self-Deactivated Partial Swing Techniques , 2010, IEEE Transactions on Circuits and Systems II: Express Briefs.

[6]  Gaurab Banerjee,et al.  Analog/RF Built-in-Self-Test Subsystem for a Mobile Broadcast Video Receiver in 65-nm CMOS , 2011, IEEE Journal of Solid-State Circuits.

[7]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[8]  Peter R. Kinget,et al.  Theory and Design of a Quadrature Analog-to-Information Converter for Energy-Efficient Wideband Spectrum Sensing , 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.

[9]  A. P. Vinod,et al.  Low power DFT filter bank based two-stage spectrum sensing , 2012, 2012 International Conference on Innovations in Information Technology (IIT).

[10]  Eric A. M. Klumperink,et al.  A CMOS-Compatible Spectrum Analyzer for Cognitive Radio Exploiting Crosscorrelation to Improve Linearity and Noise Performance , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[11]  Geert Leus,et al.  Two-stage spectrum sensing for cognitive radios , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[12]  Taejoong Song,et al.  A Fully Integrated UHF-Band CMOS Receiver With Multi-Resolution Spectrum Sensing (MRSS) Functionality for IEEE 802.22 Cognitive Radio Applications , 2009, IEEE Journal of Solid-State Circuits.

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

[14]  Ling Luo,et al.  A two-stage sensing technique for dynamic spectrum access , 2009, IEEE Transactions on Wireless Communications.

[15]  Tadashi Maeda,et al.  A 30-MHz–2.4-GHz CMOS Receiver With Integrated RF Filter and Dynamic-Range-Scalable Energy Detector for Cognitive Radio Systems , 2012, IEEE Journal of Solid-State Circuits.

[16]  Li Li,et al.  A Low-Power Adaptive Receiver Utilizing Discrete-Time Spectrum-Sensing , 2013, IEEE Transactions on Microwave Theory and Techniques.

[17]  Gaurab Banerjee,et al.  A 0.5–2.0 GHz injection locked oscillator cascade for parallel wideband RF spectrum sensing , 2015 .

[18]  Gaurab Banerjee,et al.  Complex filter based spectrum sensor for narrowband detection over a wide sensing bandwidth , 2015, 2015 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).

[19]  Kazuaki Kunihiro,et al.  A 5–9-mw, 0.2–2.5-GHz CMOS low-if receiver for spectrum-sensing cognitive radio sensor networks , 2013, 2013 IEEE Radio Frequency Integrated Circuits Symposium (RFIC).

[20]  Ming-Yu Yen,et al.  Searching for Spectrum Holes: A 400–800 MHz Spectrum Sensing System , 2015, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[21]  K. Martin,et al.  Complex signal processing is not-complex , 2003, The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04..

[22]  Yang Xu,et al.  RF channelizer architectures using 3-way iterative down conversion for concurrent or fast-switching spectrum analysis , 2014, Analog Integrated Circuits and Signal Processing.