With the development of microwave test technology, higher test accuracy of microwave devices is required. The calibration results of the existing TAN calibration algorithm are not accurate enough because the non-source port does not reach the ideal match. In this paper, a new TAN calibration algorithm based on wave quantity is studied to eliminate the error introduced by direct acquisition of non-ideal S-parameters. Compared with the classical S-parameter calibration algorithm, the proposed algorithm has the same calibration effect and smoother trace, which improves the test accuracy of the device.
In order to ensure the smooth entry of large stowage units, reduce manual assistance, improve loading efficiency and realize automatic loading, this paper takes the large unit devices as the research object, and puts forward the problem of realizing the optimal trajectory of the large unit loading devices of aircraft cargo compartment based on the improved adaptive genetic algorithm. A trajectory planning model is established with the constraint conditions of the left side of the hatch door, the right side of the hatch door and no collision of the hatch body, and the goal of the shortest loading trajectory. An adaptive genetic algorithm was designed to solve the model. The crossover probability and mutation probability were automatically adjusted with individual fitness through genetic control to improve the convergence speed and get the optimal solution faster. The simulation verifies the feasibility of the proposed model and algorithm, which has reference significance for the loading of large ULDs.
With the continuous development of communication technology, the nonlinear requirements of RF power amplifier are higher and higher. The nonlinear measurement of broadband power amplifier involves signal synchronization, nonlinear measurement and memory effect characterization. Aiming at the synchronization problem of test signals, a crosscorrelation interpolation synchronization algorithm suitable for unknown modulation signals is designed, and the corresponding amplifier test platform scheme is proposed. Compared with other papers, the algorithm in this paper has stronger applicability and anti noise performance. Comparing the test results of instrument manufacturers, the relative error of synchronization time is much less than 0.01%, the relative error of AM/AM is less than 0.1%, and the RMS phase error of AM/PM is less than 0.5°.
KEYWORDS: Error analysis, Signal processing, Statistical analysis, Radar, Signal detection, Signal analyzers, Computer simulations, Signal to noise ratio, Modulation, MATLAB
Pulse compression signal is widely used in radar detection because of its outstanding anti-interference ability. The parameter measurement of pulse signal by signal analyzer is the basis of accurate detection, and the extraction of single pulse can reduce the complexity of pulse measurement. The commonly used neural network extraction methods have high algorithm complexity and are difficult to implement in instruments. In this paper, a pulse extraction method based on statistical histogram is proposed to achieve pulse power level classification. The paper estimates the pulse top power, base power and pulse amplitude, and propose the algorithm flow of pulse endpoint position extraction. Using MATLAB simulation, it is proved that the relative error of the parameter estimation results of the algorithm in this paper is less than 0.2%. The algorithm complexity is reduced by 20% compared with the traditional method.
KEYWORDS: Signal processing, Interference (communication), Tolerancing, Time-frequency analysis, Data conversion, Error analysis, Frequency conversion, Statistical analysis, Signal analyzers, Data processing
Frequency hopping signal has attracted widespread attention in the fields of civil and military communication since its appearance because of its unique anti-interference performance. At present, the time parameter estimation algorithm of frequency hopping signal is mainly based on the extraction of spectral peak. This kind of method has large amount of calculation, low accuracy and is easy to be disturbed by noise. In this paper, a parameter estimation method based on standard state frequency and tolerance value is proposed for the time parameter estimation of frequency hopping signal. The time parameters of frequency hopping signal are estimated by using the mutation characteristics of frequency hopping signal at the hopping moment. Simulation results show that this method can accurately estimate the time parameters of frequency hopping signal. Among them, the error between the estimated value of the frequency hopping start time, the frequency hopping end time, and the frequency hopping period is less than 0.1% compared with the actual value. Compared with traditional methods, the accuracy can be improved by more than 10%.
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