Abstract: Some embodiments of the present disclosed provide a damping module allowing for mounting of a rotary wheel and a mobile apparatus. The damping module includes a bearing member, extending in a horizontal direction and having a left assembly portion and a right assembly portion spaced apart from each other; a bent arm bracket, disposed on the right assembly portion of the bearing member; a swinging bent arm, including an upper end portion, a lower end portion allowing for mounting of the rotary wheel, and a bent portion pivotally connected to the bent arm bracket; a transmission member connected with the upper end portion of the swinging bent arm; and a damping mechanism, disposed on the left assembly portion of the bearing member and connected with the transmission member.

Abstract: A periodogram-based wireless microphone signal detection method, which solves the problem of incapability of distinguishing wireless microphone signal from narrow-band interference, includes: acquiring a time-domain digital signal for detection through antenna module, RF front-end module, ADC module and time-domain signal preprocessing module; and performing detection of microphone signal in frequency domain, that is, calculating an average value of periodogram of M segments of the time-domain digital signal for detection, shifting the average value to obtain a shifted vector, estimating a mean and a covariance matrix of the shifted vector, locating a maximum point of the vector, and taking several points on each side of the point as a center to form an information vector; calculating a decision statistical quantity of the information vector using the decision theory, simulating or calculating a threshold in a predefined method, and deciding the signal is narrow-band interference if the decision statistical q

Abstract: A method for detecting wireless microphone signals based on an augmented spectral correlation function is provided. The method includes obtaining an augmented spectral correlation function (SCF) of acquired digital signals based on a SCF of the digital signal and a conjugate SCF proposed in the present invention, calculating a statistic, and comparing it with a decision threshold simulated or calculated through a predetermined method to determine whether the digital signal is a wireless microphone signal. With the proposed augmented SCF, the present invention overcomes a difficulty in sensing TV white space, namely, the inability of most existing detection methods to effectively distinguish between narrowband interferences and wireless microphone signals. Meanwhile, the detection method has low algorithm complexity and is easy to implement in real systems.

Abstract: A periodogram-based wireless microphone signal detection method, which solves the problem of incapability of distinguishing wireless microphone signal from narrow-band interference, includes: acquiring a time-domain digital signal for detection through antenna module, RF front-end module, ADC module and time-domain signal preprocessing module; and performing detection of microphone signal in frequency domain, that is, calculating an average value of periodogram of M segments of the time-domain digital signal for detection, shifting the average value to obtain a shifted vector, estimating a mean and a covariance matrix of the shifted vector, locating a maximum point of the vector, and taking several points on each side of the point as a center to form an information vector; calculating a decision statistical quantity of the information vector using the decision theory, simulating or calculating a threshold in a predefined method, and deciding the signal is narrow-band interference if the decision statistical q

Abstract: A method for detecting wireless microphone signals based on an augmented spectral correlation function is provided. The method includes obtaining an augmented spectral correlation function (SCF) of acquired digital signals based on a SCF of the digital signal and a conjugate SCF proposed in the present invention, calculating a statistic, and comparing it with a decision threshold simulated or calculated through a predetermined method to determine whether the digital signal is a wireless microphone signal. With the proposed augmented SCF, the present invention overcomes a difficulty in sensing TV white space, namely, the inability of most existing detection methods to effectively distinguish between narrowband interferences and wireless microphone signals.