Novel real-time system design for floating-point sub-Nyquist multi-coset signal blind reconstruction

• Published in: 2015 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 954 - 957
• Main Authors: Hongxu Yin, Bah Hwee Gwee, Zhiping Lin, Kumar, Anil, Razul, Sirajudeen Gulam, See, Chong Meng Samson
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2015
• Subjects: CORDIC; Field programmable gate arrays; FPGA; Jacobi; Jacobian matrices; Mathematical model; multi-coset sampling; Multiband; Multiple signal classification; MUSIC; Real-time systems; Reconstruction; Signal to noise ratio; sub-Nyquist
• ISSN: 0271-4302; 2158-1525
• DOI: 10.1109/ISCAS.2015.7168793

We propose a novel real-time system design for multiband signal blind reconstruction using multi-coset sampling theory. Multi-channel signals are acquired under sub-Nyquist sampling frequency to perfectly reconstruct the original signal spectrum. A novel system design with Field-Programmable Gate Array (FPGA) implementation is presented in this paper. There are two main contributions in this paper. Firstly, the FPGA system uses 32-bit single precision floating point dataflow rather than conventional 16-bit fixed point to recover signals with much lower Signal-Noise Ratio (SNR). Secondly, we introduce a novel Jacobi CORDIC eigenvalue decomposition (EVD) core using parallel pivot-seeking circuit and parallel 3-CORDIC design to improve speed significantly. Hermitian matrices of dimensions from 2 to 10 are tested to compare conventional 2-CORDIC EVD and proposed EVD. The proposed EVD effectively reduces on average 36% of processing time for mesh connection system and over 50% for parallel system.