Neuromorphic Hardware Scalable Channelizer for Ultra-Wide Bandwidth
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current ultra-wide bandwidth systems face challenges in maintaining latency signal detection over high instantaneous bandwidths due to limitations in hardware implementations, particularly with multiple channelizers using finite impulse response filters.
Innovation Solution
A hardware scalable channelizer (HSC) utilizing an integrated circuit with neuromorphic processing and infinite impulse response filters, which selects frequency bands and performs synchronous filtering, enabling efficient signal processing and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple channelizers using finite impulse response filters are utilized to reduce bandwidth into multiple sub-bands, then the bandwidth of detection is reduced into multiple sub-bands, but latency signal detection issues occur over ultra-wide instantaneous bandwidth
Solution Approach 1:
The ultra-wide bandwidth is segmented into multiple sub-bands using parallel channelizers, each processing a specific frequency range simultaneously. This allows the system to handle the full ultra-wide bandwidth by dividing it into manageable sub-bands that can be processed in parallel, maintaining low latency while achieving high productivity.
Solution Approach 2:
The system transitions from sequential single-channel processing to parallel multi-channel processing by adding a spatial dimension (multiple channels operating simultaneously). This dimensional change enables the system to process ultra-wide bandwidth without increasing latency, as multiple channels work concurrently rather than sequentially.
2Productivity
If known hardware implementations are used for ultra-wide bandwidth systems, then the systems can operate at ultra-wide bandwidth, but the hardware cannot keep pace with increasing bandwidth requirements
Solution Approach 1:
The channelizer system is designed with universal, reusable building blocks that can be configured for different bandwidth requirements. The same basic channelizer architecture can be scaled and reconfigured to handle various bandwidths, making the hardware implementation adaptable and scalable without requiring completely different designs for each bandwidth requirement.
Solution Approach 2:
The system employs dynamic, reconfigurable hardware that can adapt its configuration based on the required bandwidth. Rather than fixed hardware designs, the channelizers can be dynamically adjusted and scaled to meet increasing bandwidth demands, allowing the system to keep pace with growing requirements through flexible reconfiguration.
3Productivity
If conventional digital channelizers are used, then signal processing can be performed, but power consumption and device size are excessive
Solution Approach 1:
The patent replaces conventional digital signal processing mechanisms with an acoustic wave-based processing system. By using acoustic waves instead of traditional electronic/digital processing, the system achieves signal processing capability with significantly reduced power consumption and smaller device footprint, while maintaining the necessary productivity for ultra-wide bandwidth handling.
Data Source
AI summary
Disclosed is a hardware scalable channelizer (“HSC”). The HSC includes an integrated circuit (“IC”) that utilizes neuromorphic processing. The IC also includes an IC input configured to receive an input signal and a plurality of infinite impulse response (“IIR”) channelizer filters in signal communication with the IC input, where each IIR channelizer filter of the plurality of IIR channelizer filters is configured to select a frequency band from the input signal and provide synchronous filtering of the input signal.