L.I. Dvoiris, I.N. Kryukov
Statement of the problem. Analog signals from detection objects recorded in the detection tools are transmitted to a remote data collection point, often via low-bandwidth communication channels. At the same time, data loss is not allowed. Digital signal processing in low-performance computing systems imposes restrictions on the parameters of signal digitization. In both cases, the problem can be solved by signal compression. Goal. Studies were conducted to test the methods of Compression Sensing in the means of detecting violators. Results. The possibility of signal compression by more than 50% and subsequent recovery with minimal losses is shown. Practical significance. The approved mathematical apparatus for implementation in means of detection of violators on protected borders which allows to carry out compression of signals without loss of quality at reverse restoration is offered. This allows you to save computing resources and compress signals for transmission over communication channels.
Dvoiris L.I., Kryukov I.N. Possibilities of applying Compressive Sensing methods in detection tools. Radiotekhnika. 2021. V. 85. № 2. P. 39−43. DOI: 10.18127/j00338486-202102-06 (In Russian).
- Parfenov V.I., Golovanov D.Ju. Principy postroenija i analiza jeffektivnosti funkcionirovanija besprovodnyh sensornyh setej na osnove teorii Compressive Sensing. Cifrovaja obrabotka signalov. 2016. № 2. S. 14-19 (In Russian).
- Baraniuk R., Davenport M., Duarte M., and other. An Introduction to Compressive Sensing. Connections, Rice University, Houston, Texas. 2012. P. 35.
- Xiong W., Cao J., Li S. Sparse signal recovery with unknown signal. EURASIP Journal on Advances in Signal Processing. 2014. Article number: 178.