ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology

Mohamed Shaban; Tarek A. Idriss; Haytham Idriss; Magdy A. Bayoumi

ICASSP 2015accepted0 citations

ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology

Mohamed Shaban, Tarek A. Idriss, Haytham Idriss, Magdy A. Bayoumi

Abstract

This paper presents a high speed architecture of a recently proposed compressive sensing detection method for wideband cognitive radios using least squares. Using least squares instead of the orthogonal matching pursuit for signal recovery reduces the computational complexity where, the index search and matrix inverse stages are avoided. The proposed architecture is fully pipelined where, 14 clock cycles are required to detect 1024-length signal occupying 8 channels from 16 measurements. The design is implemented in 45 nm CMOS operating at 165 MHz. Since, the sensing time for 1024-length signal is roughly 84.8 ns, the proposed design offers high speed signal detection compared with state of art orthogonal matching pursuit architecture.

BibTeX

@inproceedings{icassp2015_asicimplementati,
  title = {ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology},
  author = {Mohamed Shaban and Tarek A. Idriss and Haytham Idriss and Magdy A. Bayoumi},
  booktitle = {ICASSP 2015},
  year = {2015}
}