| Authors |
Y. Tadokoro, H. Tanaka, Y. Nakashima, T. Yamazato, S. Arai |
| Title |
Enhancing a BPSK receiver by employing a practical parallel network with Stochastic resonance |
| Authority |
NOLTA, IEICE, vol. E10-N, no. 1, pp. 106-114, 2019. |
| Summary |
Stochastic resonance (SR) is a noise-enhancement phenomenon that enables the detection of sub-threshold signals by adding noise and using nonlinear systems. This paper explores the applicability of SR in a BPSK receiver with sub-threshold signals. Although received signals are amplified as a result of the nonlinear behavior of the receiver, they are somewhat distorted. This results in the lower performance of SR receivers in comparison with linear receivers. Employing a parallel network of SR systems is expected to solve this problem. The present theoretical analysis demonstrates that in a certain noise intensity range, the output of the network can fully describe an input sub-threshold signal, and hence, the performance close to that of the linear receivers can be obtained. The effectiveness of the SR receiver was also demonstrated through a numerical example of the bit error rate (BER). However, achieving good BER performance requires an infinite number of arrayed SR systems, which is not realistic in practical systems. A design framework for an SR network with a finite number of elements and an appropriate noise intensity that can realize BER performance close to that in linear systems is also provided. |
| 年月 |
2019年1月 |
| DOI/Handle |
DOI:https://doi.org/10.1587/nolta.10.106
|
| 研究テーマ |
確率共鳴
|
| 言語 |
英語 |
| 原稿/プレゼン資料 |
 / 無し (ローカル限定) |
