Analysis of a radio-frequency environment utilizing pulse masking
AssigneeRaytheon Company
InventorsJeffery Jay Logan, Harry B. Marr, Jr., Ian S. Robinson
Life of this patent
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Abstract
Radio-frequency (RF) signal analysis includes slow-time signal processing and fast-time signal processing. Incoming RF pulses are captured according to a resource scheduling configuration. The fast-time signal processing is to prioritize the captured RF pulses for slow-time signal processing based on dynamic pulse-grading criteria. The slow-time signal processing is to perform relevance evaluation of the prioritized RF pulses, and to adjust the dynamic pulse-grading criteria and the resource scheduling configuration based on the relevance evaluation.
Claims25
A radio-frequency (RF) signal analyzer for analyzing RF pulses, the RF signal analyzer comprising:
- pulse capture circuitry to capture incoming RF pulses according to a resource scheduling configuration and to store captured RF pulses;
- and
- signal-processing circuitry including fast-time signal processing circuitry and slow-time signal processing circuitry, wherein:
- the fast-time signal processing circuitry is to prioritize the captured RF pulses for slow-time signal processing based on application of feature set-specific pulse masks and dynamic pulse-grading criteria, wherein each of the pulse masks represents pulse features and values of the pulse features that are relevant for analysis of the RF pulses;
- and
- the slow-time signal processing is to perform relevance evaluation of the prioritized RF pulses, and to adjust the dynamic pulse-grading criteria and the resource scheduling configuration based on the relevance evaluation.
An automated method for analyzing radio-frequency (RF) pulses, the method comprising:
- capturing incoming RF pulses according to a resource scheduling configuration;
- storing the captured RF pulses;
- applying fast-time signal processing to perform prioritizing of the captured RF pulses for slow-time signal processing based on application of feature set-specific pulse masks and dynamic pulse-grading criteria, wherein each of the pulse masks represents pulse features and values of the pulse features that are relevant for analysis of the RF pulses;
- performing relevance evaluation of the prioritized RF pulses via the slow-time signal processing;
- and
- adjusting the dynamic pulse-grading criteria and the resource scheduling configuration based on the relevance evaluation.
A set of at least one non-transitory machine-readable medium containing instructions that, when executed by signal-processing equipment, cause the signal-processing equipment to:
- capture incoming RF pulses according to a resource scheduling configuration;
- store the captured RF pulses;
- apply fast-time signal processing to perform prioritizing of the captured RF pulses for slow-time signal processing based on application of feature set-specific pulse masks and dynamic pulse-grading criteria, wherein each of the pulse masks represents pulse features and values of the pulse features that are relevant for analysis of the RF pulses;
- perform relevance evaluation of the prioritized RF pulses via the slow-time signal processing;
- and
- adjust the dynamic pulse-grading criteria and the resource scheduling configuration based on the relevance evaluation.
A system for analyzing radio-frequency (RF) pulses, the system comprising:
- circuitry to capture incoming RF pulses according to a resource scheduling configuration;
- memory to store the captured RF pulses;
- and
- processing circuitry:
- to perform fast-time signal processing to prioritize the captured RF pulses;
- to perform slow-time signal processing based on application of feature set-specific pulse masks and dynamic pulse-grading criteria, wherein each of the pulse masks represents pulse features and values of the pulse features that are relevant for analysis of the RF pulses;
- to perform a relevance evaluation of the prioritized RF pulses based on the slow-time signal processing;
- and
- to adjust the dynamic pulse-grading criteria and the resource scheduling configuration based on the relevance evaluation.
Dependencies are inferred from the claim text.