Executive Summary
Active Road Noise Cancellation (RNC) utilizes a high-speed, closed-loop framework to address probabilistic road noise through destructive interference, employing piezoelectric accelerometers on suspension components and cabin-based error microphones. The system relies on the Filtered-x Least Mean Square (FxLMS) algorithm to calculate and emit real-time anti-noise waveforms, necessitating ultra-low latency, sub-millisecond data transmission via Automotive Audio Bus (A2B), and a processing time of under 15 milliseconds to maintain causality and achieve roughly 3–4 dB of noise reduction.
This whitepaper explores the following key areas
- Explore about how active road noise cancellation is working.
- Which DSP filter is used for noise cancellation and how FxLMS is better than another algorithm.
- Flow charts and figure are mentioned such that person can understand how RNC is working to automative industry.
- Basic MATLAC code is given. So, that easily understand that how noise is cancelled.
