Distributed Microphone Reception for Low-Latency Signal Combining
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Solution Overview
Problem
Existing wireless microphone systems face challenges with multipath fading, path losses, and interference in narrowband transmissions, leading to reduced radio frequency range and performance fluctuations, particularly in professional applications where latency and complexity are critical. Current solutions require central coordinators or complex algorithms that are not suitable for low-latency, low-complexity professional systems using Frequency Division Multiplexing (FDMA) in the UHF band.
Innovation Solution
A method for distributed reception in a receiver network that processes signals from multiple antennas without a central coordinator, using baseband modulation, forward error correction, and metadata-driven data combination to improve signal quality and spatial coverage, while maintaining low latency and complexity, suitable for FDMA transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of receiving antennas is increased from 2 to 4, then the radio frequency range and signal stability are improved, but the device complexity and cost increase
Solution Approach 1:
The system segments the reception function across multiple independent receivers, each with its own antenna, rather than using a single complex receiver. Each receiver processes signals independently and forwards data to others, distributing the complexity while achieving diversity gain from multiple antennas
Solution Approach 2:
The patent implements a nested architecture where receivers are organized in hierarchical levels. Level-1 receivers connect to level-2 receivers, which connect to level-3 receivers, forming a nested network structure. This allows progressive signal combination and processing while maintaining modular complexity management
2Reliability
If manual switching between receiver signals is implemented, then the operator can select the best audio stream, but the reaction time is too slow to avoid dropouts and human error occurs
Solution Approach 1:
The receiver network automatically performs signal quality assessment and switching without human intervention. Each receiver continuously monitors its own signal quality metrics and autonomously determines when to switch to alternative receivers or combine signals, eliminating the need for manual operator action
Solution Approach 2:
The system implements continuous feedback loops where receivers monitor signal quality parameters (SNR, error rates, dropout detection) and automatically adjust signal selection and combination strategies based on real-time conditions, enabling rapid response to fading notches and interference
3Reliability
If crossfading between audio signals at the mixer is performed, then signal switching is achieved, but perceivable sound distortions occur due to phase and amplitude jumps
Solution Approach 1:
Instead of switching between discrete signals, the patent merges signals from multiple receivers using coherent combination techniques. The baseband data from multiple receivers are combined in a way that maintains phase and amplitude continuity, eliminating the pops and clicks associated with traditional crossfading while maximizing signal quality through diversity combining
4Reliability
If complex algorithms and central coordinators are used to eliminate interference, then network capacity is maximized, but the power consumption and complexity increase making them unsuitable for professional wireless microphone systems
Solution Approach 1:
Each receiver in the network independently performs signal processing, error correction, and quality assessment without requiring a central coordinator. The distributed architecture allows each node to autonomously handle interference mitigation using simplified algorithms optimized for the specific wireless microphone application
Solution Approach 2:
The complex signal processing task is segmented and distributed across multiple independent receivers rather than centralized. Each receiver handles a portion of the processing load using optimized algorithms appropriate for its received signal characteristics, reducing overall system complexity while maintaining interference elimination capabilities
Data Source
AI summary
Methods for the distributed reception of receivers without significantly increasing the performance requirements of the system. In particular, this object is achieved by a method which is able to strongly improve the quality of the individual samples and thus of the signal emitted by the network in a receiver network with low complexity, without requiring a central coordinator, by means of a continuous, receiver-internal, independent combination of the received data through separate antennas, or which is able to increase the spatial coverage per receiver while maintaining the same quality of wireless transmission rates per microphone, as well as realize every scenario lying in between these extremes.