IIR Filter Array Cueing for Low-Latency Wideband Signal Separation
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Solution Overview
Problem
Wideband receivers face challenges in detecting and classifying repetitive signals efficiently due to high latency and suboptimal signal separation, especially when signals have varying frequencies and bandwidths, leading to poor quality detection and separation.
Innovation Solution
The proposed solution involves an array of IIR filters with an inverted state tree that feeds into tunable tracking filters, enabling low-latency cueing for signal detection, separation, and tracking, independent of channel bandwidth, and allows for concurrent detection and characterization of multiple signals with varying characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If scanning methods are used to detect signals, then comprehensive signal detection is achieved, but latency becomes very long before a signal is found
Solution Approach 1:
The IIR filter array performs preliminary signal processing by continuously filtering the wideband input signal across multiple frequency bands before detection. This preliminary action prepares the signal in advance, allowing immediate detection when a signal is present without requiring time-consuming scanning operations.
Solution Approach 2:
The wideband signal is segmented into multiple frequency bands using the IIR filter array, with each band processed independently. This segmentation allows parallel processing of different frequency regions, significantly reducing the time required to detect signals across the entire bandwidth compared to sequential scanning.
2Device complexity
If fixed channels with chosen fixed bandwidths are used, then channel structure is simplified, but detection and separation have suboptimal reliability and poor quality because channels are not matched to signal bandwidths
Solution Approach 1:
The system uses tunable tracking filters with dynamically adjustable bandwidths that adapt to match the bandwidth of detected signals. This dynamic adjustment allows each filter to be optimally configured for the specific signal being processed, improving detection reliability and separation quality while maintaining a relatively simple overall channel structure.
Solution Approach 2:
The filter bandwidth parameter is changed dynamically based on signal characteristics. The IIR filter array provides initial bandwidth estimates that guide the tuning of tracking filters, allowing the system to optimize filter parameters for each signal rather than using fixed bandwidths, thereby improving detection reliability without significantly increasing structural complexity.
3Device complexity
If fixed channel bandwidths are used, then receiver architecture is simplified, but signal separation quality deteriorates when signals have varying frequencies and bandwidths
Solution Approach 1:
The tracking filters incorporate dynamic bandwidth adjustment capability that allows them to adapt to signals with varying frequencies and bandwidths. This dynamic behavior maintains high signal separation quality across different signal types while keeping the overall receiver architecture relatively simple through the use of standardized filter structures with可调 parameters.
Data Source
AI summary
Efficient and low-latency cueing means for initiating and updating a process of signal detection and separation in a wideband receiver. The method uses an array of IIR filters that feed an inverted state tree. The inverted state tree provides the directions for separating, detecting, and tracking multiple simultaneous signals that are being received. These signals could be either radar or communications signals and are of widely differing frequencies, bandwidths, and other characteristics. The directions are sent by the cueing system to a set of tunable tracking filters and continuously updated so that the set of tracking filters produce noise-reduced, separated signals on their outputs representing the various simultaneous incoming signals.