Partial-LUT Designs for Low-Complexity Realization of DA-Based BLMS Adaptive Filter

• Published in: IEEE transactions on circuits and systems. II, Express briefs Vol. 68; no. 4; pp. 1188 - 1192
• Main Authors: Khan, Mohd. Tasleem, Kumar, Jitendra, Ahamed, Shaik Rafi, Faridi, Juhi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive filter (ADF); Adaptive filters; Adders; block-least mean square (BLMS); Complexity; Hardware; IP networks; look-up table (LUT); Lookup tables; Optimization; Registers; Synthetic aperture sonar; Table lookup
• ISSN: 1549-7747; 1558-3791
• DOI: 10.1109/TCSII.2020.3035693

This brief presents two-optimized partial look-up table (LUT) designs for low-complexity realization of distributed arithmetic (DA) based block least-mean-square (BLMS) adaptive filter (ADF). These are based on the partial add-store (PAS) and partial store-add (PSA) methods. A novel optimization scheme is presented which exploits the redundancies between the partial inner-products with sliding-window of input-block. It is found that the PAS method provides shorter critical-path-delay than the PSA method. A case study on echo-cancellation is demonstrated for architectural trade-off between the proposed designs. Synthesis results show that the proposed PSA based BLMS ADF for <inline-formula> <tex-math notation="LaTeX">64^{\text {th}} </tex-math></inline-formula> order offers 41.04% lesser area and 39.38% lesser power, while the PAS based BLMS ADF provides 52.08% lesser area and 50.05% lesser power as compared to the best existing work.