Ultra-Low Complex Blind I/Q-Imbalance Compensation

Direct-conversion transceivers are the predominating architecture in current mobile communication systems. Despite many advantages, this topology suffers from unavoidable mismatches in the analog part, which causes imbalance between the in-phase and quadrature (I/Q) component. In this paper, we present a novel fully digital, blind I/Q imbalance compensation algorithm that features extremely low computational complexity and high compensation performance for a wide range of input signal types. Different to many state-of-the-art compensation schemes, the approach is not based on a gradient descent optimization and does not require any global feedback. This simplifies the implementation at high data rates and reduces the configuration effort to a minimum. For comparison, we examine an existing method of moment-based estimator with similar properties, for which we also provide the detailed insights beyond available literature. For both algorithms, we provide a rigorous mathematical analysis, which is supported by simulations with a focus on various long-term evolution (LTE) signal types. In addition, hardware architectures, including field-programmable gate array (FPGA) verification, are presented for both algorithms.

[1]  Paulo S. R. Diniz,et al.  Adaptive Filtering: Algorithms and Practical Implementation , 1997 .

[2]  J.H. Huijsing,et al.  A quadrature data-dependent DEM algorithm to improve image rejection of a complex /spl Sigma//spl Delta/ modulator , 2001, 2001 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. ISSCC (Cat. No.01CH37177).

[3]  Erik Dahlman,et al.  4G: LTE/LTE-Advanced for Mobile Broadband , 2011 .

[4]  See-May Phoong,et al.  A Time-Domain Joint Estimation Algorithm for CFO and I/Q Imbalance in Wideband Direct-Conversion Receivers , 2012, IEEE Transactions on Wireless Communications.

[5]  Robert Weigel,et al.  A Mixed-Signal Technique for TX-Induced Modulated Spur Cancellation in LTE-CA Receivers , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[6]  Mario Huemer,et al.  Digitally-intensive transceivers for future mobile communications—emerging trends and challenges , 2018, Elektrotech. Informationstechnik.

[7]  D. Rajan Probability, Random Variables, and Stochastic Processes , 2017 .

[8]  A. Abidi Direct-conversion radio transceivers for digital communications , 1995, Proceedings ISSCC '95 - International Solid-State Circuits Conference.

[9]  Bang-Sup Song,et al.  A Complex Image Rejection Circuit With Sign Detection Only , 2006, IEEE Journal of Solid-State Circuits.

[10]  Birgit Wirtz Multi Standard Cmos Wireless Receivers Analysis And Design , 2016 .

[11]  Mario Huemer,et al.  Mixed-Signal Based Enhanced Widely Linear Cancellation of Modulated Spur Interference in LTE-CA Transceivers , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

[12]  Mario Huemer,et al.  A Mixed-Signal Circuit Technique for Cancellation of Interferers Modulated by LO Phase-Noise in 4G/5G CA Transceivers , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[13]  Shahriar Mirabbasi,et al.  Classical and modern receiver architectures , 2000, IEEE Commun. Mag..

[14]  Mikko Valkama,et al.  Blind Compensation of Frequency-Selective I/Q Imbalances in Quadrature Radio Receivers: Circularity -Based Approach , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[15]  Behzad Razavi,et al.  RF Microelectronics (2nd Edition) (Prentice Hall Communications Engineering and Emerging Technologies Series) , 2011 .

[16]  Mikko Valkama,et al.  Blind signal estimation in conjugate signal models with application to I/Q imbalance compensation , 2005, IEEE Signal Processing Letters.

[17]  Behzad Razavi,et al.  Design considerations for direct-conversion receivers , 1997 .

[18]  Ali H. Sayed,et al.  Fundamentals Of Adaptive Filtering , 2003 .

[19]  M. Valkama,et al.  Gradient-based blind iterative techniques for I/Q imbalance compensation in digital radio receivers , 2007, 2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications.

[20]  Mikko Valkama,et al.  Blind Moment Estimation Techniques for I/Q Imbalance Compensation in Quadrature Receivers , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[21]  Mikko Valkama,et al.  Circularity-Based I/Q Imbalance Compensation in Wideband Direct-Conversion Receivers , 2008, IEEE Transactions on Vehicular Technology.

[22]  Yong Hoon Lee,et al.  Joint ML estimation of carrier frequency, channel, I/Q mismatch, and DC offset in communication receivers , 2005, IEEE Transactions on Vehicular Technology.

[23]  K. Sridharan,et al.  50 Years of CORDIC: Algorithms, Architectures, and Applications , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

[24]  Andreas Springer,et al.  Analysis of a Properness-Based Blind Adaptive I/Q Filter Mismatch Compensation , 2016, IEEE Transactions on Wireless Communications.

[25]  Mikko Valkama,et al.  Advanced methods for I/Q imbalance compensation in communication receivers , 2001, IEEE Trans. Signal Process..

[26]  Guanbin Xing,et al.  Frequency offset and I/Q imbalance compensation for OFDM direct-conversion receivers , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[27]  Mario Huemer,et al.  Adaptive self-interference cancelation in LTE-A carrier aggregation FDD direct-conversion transceivers , 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

[28]  L. R. Shenton,et al.  Estimation, Method of Moments , 2006 .

[29]  Yongming Huang,et al.  A Normalized Complex LMS Based Blind I/Q Imbalance Compensator for GFDM Receivers and Its Full Second-Order Performance Analysis , 2018, IEEE Transactions on Signal Processing.

[30]  James L. Massey,et al.  Proper complex random processes with applications to information theory , 1993, IEEE Trans. Inf. Theory.