Digital active road noise control method and system
US-2019139531-A1 · May 9, 2019 · US
US2022122577A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022122577-A1 |
| Application number | US-202117502748-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 15, 2021 |
| Priority date | Oct 16, 2020 |
| Publication date | Apr 21, 2022 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A simulation test system and method for vehicle road noise cancellation (RNC) are provided in one or more embodiments of the present disclosure. The simulation test system may include a vehicle RNC simulation system and a power amplifier. The vehicle RNC simulation system is configured to simulate an RNC system in a vehicle environment. The power amplifier is configured to execute an RNC algorithm and may perform data communication with the vehicle RNC simulation system. The vehicle RNC simulation system transmits acceleration data representing an acceleration signal and microphone data representing a microphone signal to the power amplifier as inputs to the RNC algorithm in the power amplifier. Moreover, the vehicle RNC simulation system may receive speaker data representing a speaker signal from the power amplifier. The vehicle RNC simulation system includes a secondary path simulation model and a signal flow simulation model.
Opening claim text (preview).
1 . A simulation test system for vehicle road noise cancellation (RNC), comprising: a vehicle RNC simulation system configured to simulate an RNC system in a vehicle environment; and a power amplifier in communication with the vehicle RNC simulation system and configured to execute an RNC algorithm, wherein the vehicle RNC simulation system transmits acceleration data representing an acceleration signal and microphone data representing a microphone signal to the power amplifier as inputs to the RNC algorithm in the power amplifier, and receives, from the power amplifier, speaker data representing a speaker signal; and wherein the vehicle RNC simulation system comprises a secondary path simulation model and a signal flow simulation model. 2 . The system of claim 1 , wherein the secondary path simulation model is established by: measuring first secondary path data in the vehicle environment at a first data sampling rate; obtaining second secondary path data at a second data sampling rate based on the first secondary path data; and loading the second secondary path data into the vehicle RNC simulation system to establish the secondary path simulation model. 3 . The system of claim 2 , wherein obtaining the second secondary path data at the second data sampling rate based on the first secondary path data further comprises: determining third secondary path data at the first data sampling rate based on the first secondary path data and a speaker gain, a microphone gain, and filter parameters used in the measurement; and converting, by a sampling rate conversion, the third secondary path data at the first data sampling rate into the second secondary path data at the second data sampling rate for the vehicle RNC simulation system, wherein the first data sampling rate is less than the second data sampling rate. 4 . The system of claim 1 , wherein the vehicle RNC simulation system performs data communication with the power amplifier through an Automotive Audio Bus (A2B). 5 . The system of claim 1 , wherein the vehicle RNC simulation system is implemented in a computing apparatus or an embedded power amplifier. 6 . The system of claim 1 , wherein the signal flow simulation model is established by: directly transmitting the acceleration data representing the acceleration signal to an A2B channel; delaying the microphone data representing the microphone signal; processing the received speaker data by using the secondary path simulation model; and mixing the processed speaker data and the delayed microphone data to provide the mixed data and transmitting the mixed data to the A2B channel. 7 . The system of claim 6 , wherein the delaying includes determining a delay compensation based on whether the vehicle RNC simulation system is implemented in a computing apparatus or an embedded power amplifier. 8 . The system of claim 1 , wherein the vehicle RNC simulation system further comprises a memory configured to store an initial data set comprising the acceleration data and the microphone data. 9 . A simulation test method for vehicle road noise cancellation (RNC), the method comprising: constructing a vehicle RNC simulation system configured to simulate an RNC system in a vehicle environment; and executing an RNC algorithm by using a power amplifier in communication with the vehicle RNC simulation system, wherein the vehicle RNC simulation system transmits acceleration data representing an acceleration signal and microphone data representing a microphone signal to the power amplifier as inputs to the RNC algorithm in the power amplifier, and receives, from the power amplifier, speaker data representing a speaker signal; and wherein the vehicle RNC simulation system comprises a secondary path simulation model and a signal flow simulation model. 10 . The method of claim 9 , wherein the secondary path simulation model is established by: measuring first secondary path data in a vehicle environment at a first data sampling rate; obtaining second secondary path data at a second data sampling rate based on the first secondary path data; and loading the second secondary path data into the vehicle RNC simulation system to establish the secondary path simulation model. 11 . The method of claim 10 , wherein the obtaining the second secondary path data at the second data sampling rate based on the first secondary path data further includes: calculating third secondary path data at the first data sampling rate based on the first secondary path data and a speaker gain, a microphone gain, and filter parameters used in the measurement; and converting, by a sampling rate conversion, the third secondary path data at the first data sampling rate into the second secondary path data at the second data sampling rate for the vehicle RNC simulation system, wherein the first data sampling rate is less than the second data sampling rate. 12 . The method of claim 9 , wherein the vehicle RNC simulation system performs data communication with the power amplifier through an Automotive Audio Bus (A2B). 13 . The method of claim 9 , wherein the vehicle RNC simulation system is implemented in a computing apparatus or an embedded power amplifier. 14 . The method of claim 9 , wherein the signal flow simulation model is established by: directly transmitting the acceleration data representing the acceleration signal to an A2B channel; delaying the microphone data representing the microphone signal; processing the received speaker data by using the secondary path simulation model; and mixing the processed speaker data and the delayed microphone data to provide mixed data and transmitting the mixed data to the A2B channel. 15 . The method of claim 14 , wherein the delaying comprises determining a delay compensation based on whether the vehicle RNC simulation system is implemented in a computing apparatus or an embedded power amplifier. 16 . A computer program product embodied in a non-transitory computer read-able medium that is programmed for providing a simulation test system for vehicle road noise cancellation (RNC), the computer-program product comprising instructions for: constructing a vehicle RNC simulation system configured to simulate an RNC system in a vehicle environment; and executing an RNC algorithm by using a power amplifier in communication with the vehicle RNC simulation system, wherein the vehicle RNC simulation system transmits acceleration data representing an acceleration signal and microphone data representing a microphone signal to the power amplifier as inputs to the RNC algorithm in the power amplifier, and receives, from the power amplifier, speaker data representing a speaker signal; and wherein the vehicle RNC simulation system comprises a secondary path simulation model and a signal flow simulation model. 17 . The computer program product of claim 16 , wherein the secondary path simulation model is established by: measuring first secondary path data in a vehicle environment at a first data sampling rate; obtaining second secondary path data at a second data sampling rate based on the first secondary path data; and loading the second secondary path data into the vehicle RNC simulation system to establish the secondary path simulation model. 18 . The computer program product of claim 17 , wherein obtaining the second secondary path data at the second data sampling rate based on the first secondary path data further includes: calculating third secondary path data at the first data sampling rate based on the first secon
Simulation · CPC title
between the output signals and the error signals, i.e. secondary path · CPC title
Automobiles · CPC title
Noise analysis or noise optimisation · CPC title
Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.