Potential immunity of radio control lines

In the work, a methodology for assessing the potential noise immunity of radio control lines operating with binary FT signals is presented when using both element-by-element signal processing and signal processing in toto. The calculation method is based on the criterion adopted in radio control lines. According to the proposed technique, calculation shows that potential noise immunity with element-by-element signal processing is achieved with coherent reception of the FT signal under conditions of an unlimited increase in the code width, therefore, the frequency band occupied by the signal is expands indefinitely. In this case processing a binary signal in toto is realized by transferring the clipper from the video channel to the input signal receiving circuit. The transition from element-by-element signal processing to processing it in toto accompanied by an increase in the maximum possible value of the noise immunity coefficient by a factor of / 2 . Such an effect, in comparison with the circuit of the model of the radio control line with element-by-element processing of the FT signal, is achieved due to the transfer of the clipper, which plays the role of a decisive element in the circuit when receiving a symbol, into the input circuit. As a result, a filter-clipper-filter system is formed together with bandpass F1 and F2 filters. Therein F1 filter is still tuned to the frequency of the FT signal and matched to its symbol, and the passband of F2 is much higher than the bandwidth of the matched filter so that only the first harmonic of the signal spectrum is isolated without distortion practically. In this case, the clipper (O) ensures that the probability of false reception Pl is independent of the level of input noise, and at the s-n ratio q≤1 the clipper behaves like a linear device, while it is a classical nonlinear device when it is operating in the video signal channel (fig. 2) where there is signal suppression by interference which leads to a certain decrease in the potential radio link noise immunity during signal processing in element-by-element type.

Multi-optical signal channel gold nanoclusters and their application in heavy metal ions sensing arrays

Novel multi-optical signal channel gold nanoclusters (MS-AuNCs) with CL and FL properties were designed and prepared by a one-pot method. Then the CL and FL spectra of MS-AuNCs were applied to the sensing array for heavy metal ion differentiation.

Circularly symmetric algorithm for UWB RF signal receiving channel based on noise cancellation

Due to the high redundancy of ultra-wideband (UWB) radio frequency (RF) signal receiving channel and the channel’s non-rotation invariance, the signal-to-noise ratio (SNR) of signal transmission is increased. In order to solve this problem, a circularly symmetric algorithm for the UWB RF signal receiving channel based on spectrum compression cannot effectively reduce the redundancy of UWB RF signal receiving channel; the channel does not have rotation invariance; and the effect of noise reduction is poor. A circularly symmetric algorithm for the UWB RF signal receiving channel based on noise cancellation is proposed, and a noise cancellation structure at the input stage of the receiving channel is constructed to ensure channel noise cancellation and reduce noise in the channel. On this basis, five power zones are used to reasonably select RF devices, receive and downconvert UWB RF signal receiving channel, and convert the received UWB RF signal channel into circular symmetric Gabor transform to reduce redundancy and ensure the strict rotation invariance of the channel. The experimental results show that the proposed algorithm guarantees the quality of the signal and the stable transmission of the signal information. The SNR is 3.8672, and the root mean square error is 0.4078. The third-order cross-modulation coefficient of the signal receiving channel controlled by the algorithm meets the requirements of the index and the mirror frequency rejection requirement of the index.

Research on Fault Feature Extraction Method Based on FDM-RobustICA and MOMEDA

Aiming at the difficulty of extracting rolling bearing fault features under strong background noise conditions, a method based on the Fourier decomposition method (FDM), robust independent component analysis (RobustICA), and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) is proposed. Firstly, the FDM method is introduced to decompose the single-channel bearing fault signal into several Fourier intrinsic band functions (FIBF). Secondly, by setting the cross-correlation coefficient and kurtosis as a new selection criterion, it can effectively construct the virtual noise channel and the observation signal channel, which makes RobustICA complete the separation of the useful signal and noise well. Finally, MOMEDA is introduced to enhance the periodic impact components in the denoised signal, and then the filtered signal is analyzed by the Hilbert envelope spectrum to extract the fault characteristic frequency. Through the experimental analysis of the simulated signals and the actual bearing fault signals, the results show that the proposed method not only has the ability to suppress noise and accurately extract fault feature information but also has better performance than the traditional method of local mean decomposition (LMD) and intrinsic time-scale decomposition (ITD), highlighting its practicality in the fault diagnosis of rotating machinery.

Optimization for Interference Cancellation in MIMO-OFDM System using Modified Bat Algorithm (MBA)

The intervention has to be negated deprived of humiliation of the spectral effectiveness In broadband wireless communication systems. The intrusive overthrow of the parallel OFDM systems are called as MIMO-OFDM (Multiple Input Output Orthogonal Frequency Division Multiplexing) is brought together in our projected effort. The representation of AWGN within the signal channel and improved by the value of MSE minimum factor is chosen. Thus, the optimization is prepared for the operation of the MBA (Modified Bat Algorithm). Our proposed concepts with its results are evaluated in the platform of MATLAB.