Experimental validation of wireless communication with chaos

Abstract

The constraints of a wireless physical media, such as multi-path propagation and complex ambient noises, prevent information from being communicated at low bit error rate. Surprisingly, it has only recently been shown that, from a theoretical perspective, chaotic signals are optimal for communication. It maximises the receiver signal-to-noise performance, consequently minimizing the bit error rate. This work demonstrates numerically and experimentally that chaotic systems can in fact be used to create a reliable and efficient wireless communication system. Toward this goal, we propose an impulsive control method to generate chaotic wave signals that encode arbitrary binary information signals and an integration logic together with the match filter capable of decreasing the noise effect over a wireless channel. The experimental validation is conducted by inputting the signals generated by an electronic transmitting circuit to an electronic circuit that emulates a wireless channel, where the signals travel along three different paths. The output signal is decoded by an electronic receiver, after passing through a match filter.

Chaos-Based Underwater Communication With Arbitrary Transducers and Bandwidth

“…Moreover, the correlator of the proposed method uses the optimal SNR points rather than the entire filter output to perform correlation to decode the bit information. The result shows that our proposed method has slightly better BER as compared to the decoding method using the entire filter output [12,36]. This is because the multiple points with maximal SNR convolution operation further reduces the effect of noise.…”

“…However, for the underwater acoustic channel, the available bandwidth is very limited, which means the NR-DCSK would not be a better choice for the acoustic communication channel because of the p times bandwidth needed as compared to other DCSKs. Thereby, the proposed method shows the best performance by using the discrete optimal SNR points to decode the information, which is superior to our perviously proposed decoding method using entire filter output [12]. The matched filter and optimal SNR points correlation relieves the effect of interference caused by multipath propagation and ambient noise.…”

Nonlinear Unknown‐Input Observer‐Based Systems for Secure Communication

“…The analysis and design of UIOs for secure communication using a drive-response scheme in this section will be based on (10)- (13). Hence, (3) or (10) will serve as the drive system, while (11), (12) or (13) as the response system.…”

“…With this in mind and owing to space limitation, we omit discussion of the robustness issues [13][14][15][16][17][18][19][20][21][22][23] of such techniques here. However, we should point out that the theory of robust observer design in the presence of noise and uncertainties has been well researched in control literature, and these ideas are deemed to be useful for synchronized based CUAC as well [18][19][20][21][22][23].…”

Установление Хаотического Синхронного Отклика При Наличии Фазового Фильтра В Канале Связи

“…В настоящее время существует ряд подходов, нацеленных на решение проблемы установления хаотической синхронизации при наличии фильтрации сигнала [1][2][3][4][5]. При этом, как правило, фильтрация хаотического сигнала осуществляется фильтром первого или второго порядков, что не всегда адекватно отражает характеристики реального канала передачи информации.…”