VLSI based Cascaded Integrator Comb (CIC) Filter for RADAR

Efficient filtering methods in contemporary radar systems are needed to process high-frequency signals with little distortion and noise. The Cascaded Integrator-Comb filter has a popular choice for decimation and interpolation because of its easy hardware implementation and low complexity. The focus of this project is the VLSI implementation and simulation of a 100 MHz Cascaded Integrator-Comb filter for real-time radar applications.The CIC filter is implemented using Verilog HDL and simulated in Xilinx Vivado for the evaluation of important performance characteristics like latency, power consumption, and resource consumption. The architecture includes cascaded integrator and comb stages that efficiently suppress the aliasing effects and improve the signal quality. The simulation outputs confirm the behavior and effectiveness of the CIC filter in the processing of high-speed radar signals with signal integrity.Using VLSI design methodologies, the project presents an efficient and hardware-friendly solution for real-time radar signal processing. The research proves that high-speed digital filtering can be implemented in ASIC or FPGA-based radar systems, and it advances VLSI-based signal processing.The current version maintains VLSI simulation in Xilinx Vivado as the central theme and steers clear of FPGA implementation while still taking on real-time applications.

Authors

Institutions

Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/ictmim65579.2025.10988181
Citations
2
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VLSI based Cascaded Integrator Comb (CIC) Filter for RADAR

K V Balaramakrishna, E Vijaya Babu, Y Sri Rama, Sanjana Mohithe et al.
2 citations
Medical Imaging Techniques and Applications
2.72
article

VLSI based Cascaded Integrator Comb (CIC) Filter for RADAR

K V Balaramakrishna, E Vijaya Babu, Y Sri Rama, Sanjana Mohithe, Siri Chandana Prodduturi, Bhoomika Amgoth
article en
2 citations

Abstract

Efficient filtering methods in contemporary radar systems are needed to process high-frequency signals with little distortion and noise. The Cascaded Integrator-Comb filter has a popular choice for decimation and interpolation because of its easy hardware implementation and low complexity. The focus of this project is the VLSI implementation and simulation of a 100 MHz Cascaded Integrator-Comb filter for real-time radar applications.The CIC filter is implemented using Verilog HDL and simulated in Xilinx Vivado for the evaluation of important performance characteristics like latency, power consumption, and resource consumption. The architecture includes cascaded integrator and comb stages that efficiently suppress the aliasing effects and improve the signal quality. The simulation outputs confirm the behavior and effectiveness of the CIC filter in the processing of high-speed radar signals with signal integrity.Using VLSI design methodologies, the project presents an efficient and hardware-friendly solution for real-time radar signal processing. The research proves that high-speed digital filtering can be implemented in ASIC or FPGA-based radar systems, and it advances VLSI-based signal processing.The current version maintains VLSI simulation in Xilinx Vivado as the central theme and steers clear of FPGA implementation while still taking on real-time applications.

Vignana Jyothi Institute of Management (IN), Aditya Birla (India) (IN)
Affordable and clean energy
Openalex Percentile: Top 11%
Medical Imaging Techniques and Applications
2.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.