ROOM ACTIVE NOISE CANCELLATION (ANC) SYSTEM

Abstract

This active noise cancellation system is suitable for use during sleep or rest in apartment, office, or similar environments. It includes two speakers placed on the right and left edges of the user's pillow, at ear level and slightly turned inwards; two bug microphones positioned at ear level and close to the speakers to measure noise pressure at the ear canal; two reference microphones positioned in the direction of the noise or at the edges of the room for early detection of external noise; and at least one processing unit connected to the aforementioned microphones and speakers. This unit is designed to evaluate the data received from the microphones, detect noise in the room, and reduce the noise at ear level by generating an inverse phase anti-signal and outputting it through the aforementioned speakers.

Description

ROOM ACTIVE NOISE CANCELLATION (ANC) SYSTEM Related Technical Field The present invention provides protection against disturbance during sleep or rest in apartments, offices, or similar environments. This invention relates to an active noise cancellation (ANC) system used to reduce disruptive noise. The system in question creates a sense of silence by specifically targeting low-frequency noise. State of the art With the acceleration of urbanization, exposure to harmful substances in homes, offices, and similar living spaces... Noise types and levels are increasing day by day; the resulting noise pollution affects humans. It negatively affects health and quality of life. Today, research in acoustics... Studies have shown that various methods, called active and passive noise control, are used to block unwanted sounds. It offers solutions. Passive noise control techniques aim to reduce noise through the use of various materials. Materials used in passive noise control absorb sound and reduce its propagation. It possesses various acoustic properties that allow for or reflection of sound. Passive noise control, high It performs better at higher frequencies and does not require electrical power; on the other hand, the one used... Because most materials obstruct airflow, in some applications in mechanical systems This leads to an increase in heat and is unsustainable and unhealthy in living spaces such as homes and offices. It is unable to provide usability. Due to the nature of the traditional materials used in this system, They need to be thick to provide noise reduction at low frequencies, which is why... This requires the solutions to be in voluminous structures. Active noise control simulates unwanted sounds at the same amplitude but 180° out of phase. It is based on the fact that when a sound wave in the external environment is at its peak, simultaneously... Noise is damped by generating a wave at the trough point by the system. is provided. Active noise control solutions, which are currently in place in the technology, generally Designed for headphone or in-car applications, it provides low-frequency sound at ear level. Noise reduction applications are limited to those mentioned above. One of these applications is US2010226505A1. It is stated in the patent document. In said document, ambient noise is electrically... A microphone converts the signal into a noise signal; the phase of the noise signal obtained by conversion in the microphone is determined. A cancel signal generating unit that produces a cancel signal by reversing it, and an audio signal and cancellation. This refers to a noise-canceling headset that mixes the signal and sends it to the output. However, this... The application separates music, speech, and similar sounds listened to through headphones from external sounds. The aim is to prevent it from being affected; if no sound is heard, the noise... 1 It does not offer a solution for its elimination. Furthermore, the use of headphones, at home or at work... Prolonged use in living spaces such as the floor will cause user discomfort. Passive noise control applications, as defined in the current state of the technology, take place within a room. The area allows multiple users to interact outdoors without using headphones or any similar equipment. It is sufficient to provide isolation from ambient noise. However, these applications require air... Due to reasons such as the obstruction of flow and the high volume of materials used, homes and offices... It is not suitable for low-frequency noise reduction in living spaces such as these. The known technology... Active noise control applications, as included in this scenario, require the use of headphones. and aims to prevent the sound heard through the headphones from being affected by the external environment. Therefore, one or more users in a room may not be able to listen to any noise. It will prevent it from being affected by external noise even when it is not engaged in any activity. also, the user can use headphones or any similar accessory during sleep, rest, etc. There is a need for active noise cancellation systems that do not require the use of additional equipment. Purpose of the Invention The purpose of the present invention is to reduce noise in apartments, offices or similar living spaces. The goal is to develop a suitable active noise cancellation system to reduce noise pollution. Another objective of the present invention is to reduce noise for all users in a given area. The goal is to develop an active noise cancellation system that eliminates its disturbing effects. Another aim of the present invention is to enable users to use headphones and other devices during processes such as sleep and rest. an active ingredient that provides protection from noise pollution without the need for a similar device. The goal is to develop a noise cancellation system. Description of the Invention This invention provides a user-oriented and environment-specific solution to the technical problems mentioned above. It offers an adaptive active noise cancellation (ANC) system. The invention describes an active noise cancellation system comprising at least two loudspeakers; each loudspeaker must have at least one... error microphone and at least one reference microphone; with the aforementioned microphones and speakers By analyzing the data received from the connected microphones, it detects the noise inside the room. and by generating an anti-signal with inverse phase, the aforementioned speakers will reduce the noise to ear level. at least one processing unit designed to produce sound output that will reduce noise. It includes. The processing unit in question is preferably on a central DSP or microcontroller. It is working and provides real-time control with an adaptive FXLMS algorithm. (The bet is...) The error microphone (EMC) is located near the relevant speaker, at ear level. and how much ambient noise is dampened by the anti-signal produced by the speaker. 2 It measures the signal. The DSP uses this signal to adaptively adjust the filter coefficients in real time. It is updating. The reference microphone in question is either a noise source or... It is placed at the edge of the room. The reference microphone detects external noise early, It enables the DSP to generate an anti-signal beforehand. The system described in the invention is delayed. It responds more quickly and accurately to noise. In a preferred application of the invention, an external device can be used while a user is at rest. A system developed to provide isolation from noise; - placed on the user's right and left edges of the pillow, at ear level and slightly turned inwards. two speakers; - positioned at the user's ear level and close to the speakers, and at the earpiece. two error microphones arranged to measure noise pressure; - positioned in the direction of the noise or at the edges of the room and for early detection of external noise. Two reference microphones were provided for the event. - It will process all microphone data, calculate the anti-signal, and send it to the speakers. It includes the processing unit arranged as follows. In this application, the system operates in a resting state, regardless of the dimensions of the room it is in. This prevents a user from being affected by external noise pollution. In the aforementioned processing unit... The adaptive FXLMS algorithm is preferably used. The processing unit in question receives signals from microphones. The speaker output signal is calculated using the received reference and error signals; filter It updates its parameters in real time. In a preferred application of the invention, the target frequency band is 20–500 Hz (main effect), with the middle and partial attenuation or masking is applied at high frequencies. The preferred aspect of the invention is... In one application, the sampling frequency is 48 kHz, and the filter length is 512–1024 taps (initial). The adaptation coefficient μ is taken as 1e-3 (initial). In a sample application of the invention, external noise detection is performed using the aforementioned reference microphones. The system is processing and generating a phase-reverse anti-signal based on the detected external noise. The anti-signal produced and emitted from the speakers reduces noise at ear level. (The following sentence is a separate, unrelated comment / statement): The passing error microphones, on the other hand, provide continuous feedback, so the filter adaptively It is being updated. In a preferred application of the invention, the user can use frequency profiles and safety modes. The system can be personalized. In this application, the aforementioned profile selection and The adjustment process is carried out by the processing unit. The aforementioned processing unit is: a microcontroller that has at least one digital signal processing unit (DSP core) or It is implemented on an independent DSP card and receives data from reference and error microphones. 3 Analog signals are digitized via 24-bit ADC modules and sent to the speakers. The anti-signal is generated via a 16–24 bpm DAC or integrated class-D amplifier output. Embedded software running on the compute unit is real-time operating system (RTOS) based. The filter length of the FXLMS algorithm is determined according to the frequency profile selected by the user. adaptation coefficient (μ), sampling frequency, frequency bandweights, and loudspeaker output gain. It includes a configuration module that dynamically changes its parameters. Frequency By changing its profile, the processing unit, the FIR filter blocks located on the DSP, and the noise re-evaluating directional models and speaker-microphone acoustic transfer function predictions. It loads and updates lookup tables. In the implementation of safety modes, the processing unit receives digital signals from error microphones. By performing 128–1024 point FFT calculations on it, specific frequency components (e.g., alarm) can be identified. It runs a spectral analysis module that detects sounds (doorbell, human scream). Security If the mode is active, anti-signal generation is performed in the relevant frequency bands for these detected components. The process is stopped, the FXLMS adaptation coefficient is reduced to zero or a low level, speaker Output is restricted or completely disabled in certain bands. The software, this a separate high-priority task on RTOS to manage the process at the millisecond level It uses. User profile and security mode settings are configured via UART, I2C, or other methods located in the processing unit. The data is received via the Bluetooth Low Energy (BLE) interface, then processed through DSP configuration blocks. The data is transmitted and the relevant parameters are reprocessed in real time. In another preferred application of the invention, the system isolates a room from external noise. This ensures that all users in the room can use headphones and similar devices. without the need for any additional equipment, in a quiet environment, from outside the room It provides insulation from incoming noise pollution. In the application in question, the system,  four speakers placed inside a room and a separate speaker positioned for each speaker a total of eight microphones, including one reference microphone and one error microphone. It includes.  Microphone signals are transmitted simultaneously via a multi-channel 24-bit resolution ADC. This is exemplified. • Speaker output signals are fed to Class-D power amplifiers via a 16–24 bit DAC.  All ADC and DAC lines operate via an I2S / TDM multi-channel data bus connected to the processing unit. 4  The processing unit is a microcontroller or multi-core containing at least one DSP core. It is a standalone DSP card; it drives four independent adaptive filters for four speakers. In a preferred application of the invention, the system also incorporates room dimension measuring equipment. It includes: In the application in question:  Ultrasonic or LIDAR ToF sensors (HC-SR04, URM37, SensComp, VL53L1X, The length, width, and height of the room are measured using a device (VL53L5CX).  Sensors are integrated into room corners or the main system body. In a preferred application of the invention, the system uses acoustic echo mapping. It includes mapping equipment:  Microphone array (3–8 microphones) with ambient test signal (chirp / MLS / pink nose) The data is sent, and reflections are received.  The signal-generating speaker sends the test signal.  Measurement control unit (ESP32, STM32, Raspberry Pi Zero 2 or NVIDIA Jetson Nano) It processes data from the sensors. In a preferred application of the invention, the IMU (MPU6050, ICM-20948) is used to adjust the inclined room. The surfaces are identified. The invention relates to software (used by the processing unit) for different applications of the system. The algorithm structure is described below: Distance Measurement Algorithm:  Time-of-Flight (ToF) is used:  It is applied in ultrasonic and microphone reflection signals. Echo Mapping / Geometric Inference Software:  A test signal is sent → microphones collect reflections → software extracts the room shape.  Separation of multiple reflections (early / secondary reflection)  Creating a 3D surface map  Calculation of surface normal vectors  Automatic extraction of L, W, and H values ​​for the room. Geometry Solver:  Room width (W), length (L), height (H)  RT60 forecast  The room's radius equivalent (effect and radius): DSP Parameter Calculator:  Speaker output timing (delay)  Phase shifts  Frequency band optimization weights  Channel-based EQ  Room mode suppression filters Adaptive ANC Algorithm:  FXLMS-based FIR filter:  Adaptation: Room Dimensions Measurement and Parameter Calculation Flowchart  The speaker sends a short test signal. The microphone array collects the reflections.  LIDAR / ultrasonic sensors measure linear distances simultaneously.  The software uses the ToF algorithm to determine surface distances. 6  The geometric analyzer calculates the L, W, H dimensions of the room and the “room profile” dataset. It creates.  The DSP engine automatically adjusts all speaker output parameters according to these measurements: Delay, phase, frequency weighting, and EQ. The working steps for a sample application of the invention are as follows:  The user can view the room's area, or the system can measure it using sensors.  Initial parameters are calculated automatically: filter length, adaptation coefficient, phase Scrolling, speaker delays.  A test signal is sent, and measurements are taken from the microphone and sensors.  The processing unit parameters are updated according to the measurement results.  ANC filters are activated; speakers produce anti-signals.  Error microphones are monitored, and when critical sounds are detected, the adaptive filter or speaker is activated. Its exit is restricted. The subject of the invention is an active noise cancellation system:  Low frequency (20–200 Hz): 10–25 dB attenuation  Mid-frequency (200–800 Hz): 5–15 dB  High frequency (>800 Hz): 0–10 dB (can be supported with masking) It can be obtained. The subject of the invention is an active noise cancellation system for localized active noise at ear level in a home / room environment. It provides cancellation; it offers an easy-to-install and low-cost home type solution. Adaptive The algorithm automatically adapts to the ambient acoustics, and user-generated settings are not required. Depending on the selections, you can enable alarm or emergency sounds in security mode. vermekted�r. 7

Claims

1. Suitable for use during sleep or rest in apartments, offices, or similar environments. It is an active noise cancellation system;  at least two speakers;  For each speaker, positioned near the respective speaker, at ear level. and how much the anti-signal produced by the speaker cancels out the ambient noise a low-error microphone designed to measure how much it has been damped;  For each speaker, a sound barrier is placed either near the noise source or at the edge of the room, and at least one designed to enable early detection of external noise reference microphone;  errors related to the aforementioned microphones and speakers By evaluating the signals coming from their microphones, the error in question was attributed to the microphone. The filter coefficients for the speaker are adjusted adaptively in real time. It will update; by evaluating the data received from the reference microphones, it will take the relevant steps. By generating an anti-signal with inverse phase for the speaker, the aforementioned speakers can eliminate noise. in a way that will allow the sound output to be reduced to ear level at least one regulated transaction unit It includes.

2. Is there an active noise cancellation system that complies with Claim 1?  The user's pillow should be positioned at ear level on the right and left edges, slightly turned inwards. two speakers that have been installed;  positioned at the user's ear level and close to the speakers, and the ear two faults arranged at the beginning to measure noise pressure his microphone;  positioned in the direction of the noise or at the edges of the room and early exposure to external noise two reference microphones arranged for detection It includes.

3. Is there an active noise cancellation system that complies with Claim 1?  four speakers placed in a room and one for each speaker consisting of a positioned reference microphone and an error microphone. a total of eight microphones It includes. 8 4. Is there an active noise cancellation system that meets any of the above requirements? the aforementioned processing unit running on a central DSP or microcontroller It includes.

5. We have an active noise cancellation system that meets any of the above requirements; Designed to provide real-time control with an adaptive FXLMS algorithm. It includes the mentioned processing unit.

6. Is there an active noise cancellation system that meets any of the above requirements? the user can personalize the system with frequency profiles and security modes In a way that will provide; analog signals from reference and error microphones in 24-bit The anti-signal that will be digitized via ADC modules and sent to the speakers is 16– To generate power via a 24-bit DAC or integrated class-D amplifier output. It includes the mentioned processing unit which has been regulated.

7. Is there an active noise cancellation system that meets any of the above requirements and is faulty? 128–1024 point FFT calculation on digital signals from microphones It will run a spectral analysis module that detects specific frequency components. If security mode is active, anti-aliasing is applied in the relevant frequency bands for these detected components. This will stop signal generation, reducing the FXLMS adaptation coefficient to zero or a low level. will pull, limit speaker output, or completely disable it in certain bands. It includes the aforementioned unit of operation, which is arranged in such a way as to leave it as is.

8. Is there an active noise cancellation system that meets any of the above requirements; room Integrated into the corners or the main body of the system, and depending on the length, width and of the room Ultrasonic or LIDAR ToF sensors designed to measure its height a room dimension measuring device that includes and is related to the aforementioned processing unit It includes.

9. Is there an active noise cancellation system that meets any of the above requirements? The aforementioned processing unit includes an associated acoustic echo mapping device. 9