Abstract
Online event detection (filtering) is required in communications, industry and electronic instrumentation systems. Those systems may comprise sequential decision levels. Eventually, decision to reject or accept an event may comprise fusion of different measured data. This work describes an embedded solution in field-programmable gate array (FPGA), which allows to combine information from two different sources for a decision. A matched filter discriminator was used to identify typical signatures of interest. The main focus is on both digital data control and packaging module design and implementation and optimization of the matched filter module in terms of FPGA occupation. The proposed digital electronic system is presented and simulation results are used to validate the design.
Highlights
E FFICIENT online detection of events of interest is required for several applications in telecommunications, industry and electronic instrumentation
Online filtering is mandatory in modern high-energy physics (HEP) experiments, which often produce a large amount of information as the collision rates have been considerably increased [9], [10]
Specification of some parameters were required for simulation and testing of the proposed digital circuit. These values were chosen to cope with a real experimental high-energy physics problem, which could appear in one of the LHC detectors [10]:
Summary
E FFICIENT online detection of events of interest is required for several applications in telecommunications, industry and electronic instrumentation. The use of information from different instrumentation systems may increase filtering efficiency. Online filtering is mandatory in modern high-energy physics (HEP) experiments, which often produce a large amount of information as the collision rates have been considerably increased [9], [10]. In such experiments, different instrumentation systems (detectors) are required for proper physics characterization. The online filtering (trigger) system operation may be split into sequential decision levels In this case, event selection is refined at each filtering stage, reducing the acceptance of false signatures. This work presents an online filtering application that envisages high-rate event detection using information from different readout systems.
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