Vol. 12, no.2, 2020


Chaotic signal processing and generation in DRFM technologies: accounting for resource constraints

Yuri N. Gorbunov

Kotelnikov Institure of Radioengineering and Electronics of RAS, Fryazino branch, http://fire.relarn.ru/
Fryazino 141190, Moscow region, Russian Federation
E-mail: gorbunov@ms.ire.rssi.ru
Gurgen L. Akopyan>>
A.I. Berg Central Research Institute of Radioengineering, http://www.cnirti.ru/
Moscow 107078, Russian Federation
E-mail: akopyan@cnirti.ru

Received March 12, 2020, reviewed March 30, 2020, accepted April 10, 2020
Abstract. DRFM technology for storing radio frequencies does not require large bit depths and is compatible (naturally) with the requirement of taking into account resource limitations (hardware and computing), but this applies to a single-signal situation. Significant difficulties in signal processing arise in multi-signal situations with a large dynamic range: parasitic combinational components appear, effective separation (resolution) of signals is hindered. The article establishes that the alternative to constructing a DRFM device, under these conditions, is digital multi-channel filtering (CMF) of signals implemented in the device itself. However, while maintaining multi-bit processing of the presentation of current digital data, processing in multi-signal mode is significantly complicated. To reduce the influence of the effects of quantization and discretization of signals, the article proposes to apply an unconventional approach based on randomization of processing — randomization of coarse (“low-bit”) signal samples in the ADC. In addition to this, it was found that in order to reduce the DRFM bit depth requirements, it is advisable to apply the procedure of digital subtraction of the dominant signal from the input mixture, which accounts for a significant part of the range (bit depth).

Keywords:digital radio-frequency memory, digital multi-channel filtering, randomization, multi-signal mode, digital notch filtering, stochastic linearization, low-bit processing, crude statistics, dominant signal

UDC 621.396.96

RENSIT, 2020, 12(2):219-226. DOI: 10.17725/rensit.2020.12.219.

Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/332/12(2)219-226e.pdf