18 results about "Linear component" patented technology

The invention discloses a digital self-interference cancellation method based on transceiver nonlinear behavior modeling, and belongs to the technical field of electronic reconnaissance and interference. The digital self-interference cancellation method comprises the following steps of performing linear combination on memory components of a broadband signal, and generating cross terms with different phase structures by using a nonlinear effect so as to construct a Wiener model; establishing a multipath self-interference channel model; nonlinear modeling is carried out on linear components of interference signals received by a radio frequency front end at a receiver, and nonlinear component modeling is a linear model; for a nonlinear model constructed by a linear component in an interference signal received by a radio frequency front end, adopting dynamic reduction measurement to reduce the complexity of the model; parameter preliminary estimation is carried out by using the characteristics commonly represented by the intermediate variables, and parameter estimation is optimized by combining a two-step iterative algorithm; and reconstructing the transmitting signal in the digital domain according to a parameter estimation result to generate a reference signal, and realizing interference cancellation in the digital domain of the receiving end.

The invention discloses a method for solving a signal instantaneous phase standard deviation, and the method comprises the steps: solving an instantaneous phase of a non-weak signal segment through setting a reasonable amplitude judgment threshold, carrying out the unwinding of the non-weak instantaneous phase through setting a reasonable unwinding threshold, solving a linear coefficient through linear fitting, calculating a residual carrier frequency offset value, and correcting original IQ data. And finally, fitting the sequence again to obtain a linear component, subtracting the linear component from the nonlinear component instantaneous phase sequence again, performing secondary linear component removal on the nonlinear component instantaneous phase sequence, and calculating a standard deviation through a standard calculation formula to obtain a non-weak signal segment. And obtaining the standard deviation of the instantaneous phase. According to the method, the instantaneous phase linear component of the amplitude modulation signal can be completely removed, and meanwhile, compared with an existing scheme, the problem of excessive unwrapping can be effectively solved in terms of instantaneous phase removal linear components of phase modulation and frequency modulation signals.

The invention belongs to the technical field of aviation cable fault positioning, and particularly relates to a cable fault positioning method based on time-frequency domain analysis, which comprises the following steps: firstly, collecting a cable fault signal, adopting a GWO-VMD algorithm, taking a minimum sample entropy as a fitness function, and optimizing to find an optimal penalty factor and decomposition layer number, so as to obtain a fault positioning result; removing a high noise component obtained by VMD decomposition according to the current sample entropy, and obtaining a reflected signal after noise reduction; performing cross term suppression on the reflected signal after noise reduction by using smooth pseudo Wigner distribution to obtain discrete SPWVD; and performing blind area elimination on the discrete SPWVD based on a blind area elimination algorithm of hypothesis verification to obtain a fault distance. A grey wolf optimization algorithm is applied to a variational mode decomposition algorithm, and parameters of decomposition layers and penalty factors of the VMD are optimized, so that the problem of interference of noise on reflection signal extraction is solved; secondly, the smooth pseudo Wigner distribution is adopted to solve the problem of cross term interference among a plurality of linear components in the traditional WVD distribution, and the positioning precision is improved.

The invention discloses an intelligent frequency agility method and system based on frequency spectrum cognition and deep learning, and the method comprises the steps: generating a plurality of baseband linear frequency modulation signals with different center frequencies, and obtaining a broadband radio frequency linear frequency modulation signal set; inputting the signals into a digital phased array receiving channel at the same time to obtain a multi-path baseband data set; according to the real-time total delay of the receiving channel, performing integral multiple clock period delay on each signal data in the baseband data set to obtain a delay linear frequency modulation signal set; according to the multi-path baseband data set and the delay linear frequency modulation signal set, determining a peak position of each datum in the correlation peak data set through a peak search algorithm model, and further calculating a phase difference set; and removing a first-order linear component and a direct-current component in the phase difference set by adopting a dechirp algorithm to obtain a phase nonlinear set of the digital phased array receiving channel. According to the invention, nonlinear, efficient, accurate and low-cost measurement of the phase of the digital phased array receiving channel can be realized.

Circuitry for determining an impedance of an electrochemical cell comprising at least one first electrode and a second electrode, the circuitry comprising: drive circuitry configured to apply a stimulus to the electrochemical cell, the stimulus having a stimulation frequency and a stimulation amplitude; and measurement circuitry configured to: measure an output of the electrochemical cell to generate an output signal; separate the output signal into a linear component and a non-linear component; and determine the impedance of the cell based on the linear component of the response.

Amplifier circuit (100), comprising: a differential input stage (102) configured to receive a differential input signal, wherein the differential input stage (102) is susceptible to an offset error having a linear offset error component and a nonlinear offset error component; and an offset error correction circuit (406) coupled to the differential input stage (102) and configured to apply a second-order error correction signal to the differential input stage (102) in order to correct the non-linear component of the offset error wherein the offset error correction circuit (406) comprises a reference current circuit (608) configured to generate a current signal with a second-order dependence on temperature as the second-order error correction signal and to adjust the magnitude and polarity of the current signal according to the non-linear component of the offset error, and wherein the reference current circuit (608) is configured to generate the current signal using a voltage differential signal with a temperature-dependent second-order voltage signal component.

The present disclosure refers to a rotation device, particularly a flow producing device, as well as methods that are configured to determine a condition of a bearing arrangement of rotation device. The bearing arrangement bears a rotor of an electric motor and / or a rotor arrangement including the rotor rotatingly around a rotating axis. At least one rotation parameter is determined that describes the rotation around the rotation axis, as well as at least one power parameter that describes the power of the electric motor. The determination of the at least one rotation parameter and the at least one power parameter is carried out to a current observation point in time, particularly at least at one observation point in time during a determination time phase. The at least one rotation parameter and the at least one power parameter are evaluated in relation to one another and therefrom a condition parameter is determined describing the condition of bearing arrangement. Particularly for this purpose a linear component of a power-rotation-correlation between the at least one current rotation parameter and the at least one current power parameter is used.

The utility model relates to the technical field of radio frequency front ends, in particular to a high-linearity HBT (Heterojunction Bipolar Transistor) power amplification circuit with temperature compensation. According to the circuit, the linear improvement is realized through the synergistic effect of the bias module and the pre-distortion module, and the high linearity of the circuit is realized through the anti-phase offset of the nonlinear component phases of the two modules; the temperature compensation unit is arranged on the bias module, so that high linearity can be realized in a relatively large working range.

The invention relates to a rotating device 10, in particular a flow-generating device 11, and to a method V1, V2, which is designed to detect a state of a bearing arrangement 18 of the rotating device 10. The bearing arrangement 18 rotatably supports a rotor 16 of the electric motor 14 and / or a rotor arrangement 17 having a rotor about a rotational axis A. At least one rotational movement parameter describing the rotational movement about the rotational axis A and at least one power parameter describing the power of the electric motor 14 are determined. At least one rotational motion parameter D and at least one power parameter P are detected at a current observation time, in particular at at least one observation time in the detection time period [Delta] t. The at least one rotational motion parameter D and the at least one power parameter P are evaluated in relation to each other and a state parameter B describing a state of the bearing assembly 18 is determined therefrom. In particular, a linear component of a power-rotational motion correlation KA between at least one current rotational motion parameter D and at least one current power parameter P is used for this purpose.

Circuitry for determining an impedance of an electrochemical cell comprising at least one first electrode and a second electrode, the circuitry comprising: drive circuitry configured to apply a stimulus to the electrochemical cell, the stimulus having a stimulation frequency and a stimulation amplitude; and measurement circuitry configured to: measure an output of the electrochemical cell to generate an output signal; separate the output signal into a linear component and a non-linear component; and determine the impedance of the cell based on the linear component of the response.

The application discloses a power system power shortage estimation method and device, terminal equipment and a storage medium. The method comprises the following steps: constructing a local frequency variation model of a generator in a power system; sampling the local frequency of the generator in the power system to obtain a local frequency variation time sequence; extracting the coefficient of a linear component of the local frequency variation according to the local frequency variation model and the local frequency variation time sequence through least square fitting; and calculating a power system power shortage estimation value according to the coefficient of the linear component of the local frequency variation and the total inertia of the power system. The application can quickly estimate the power system power shortage without real-time communication.

This signal-processing device comprises: a transmission control unit (141) that transmits a control signal for causing a transmission unit (11) to transmit a plurality of transmission signals having different characteristics; a reception signal acquisition unit (142) that acquires a plurality of reception signals from a reception sensor (13); a non-linear component extraction unit (143) that extracts a non-linear component by performing calculation according to the characteristics of the transmission signals transmitted by the transmission unit (11), on the basis of the plurality of reception signals acquired by the reception signal acquisition unit (142); and a property estimation unit (144) that estimates a property of a measurement target (2) on the basis of the non-linear component extracted by the non-linear component extraction unit (143). The plurality of transmission signals each have an amplitude that allows a plurality of transmission pulses to exhibit non-linear effects in air. The plurality of reception signals include low-frequency components generated by the non-linear effects in air.

A multilevel linear amplifier with non-linear components, MLINC (1), for a radio frequency transmitter, the MLINC (1) comprising a first outphasing amplifier (2) adapted to receive a first set of input signals (S11, S12) and providing a first intermediate signal (S1) with a stepped envelope depending on a controlled portion (θc1) of a phase modulation in the first set of input signals (S11, S12); a second outphasing amplifier (3) adapted to receive a second set of input signals (S21, S22) and to provide a second intermediate signal (S2) with a stepped envelope depending on a controlled portion (0c2) of a phase modulation in the second set of input signals (S21, S22); and a combiner (6) adapted to combine the first and second intermediate signals (S2) into an output signal (Sout) having an envelope linearized due to a phase symmetry of the first and second intermediate signals (S1, S2).

The invention relates to a rotary device (10), in particular a flow-generating device (11), and a method (V1, V2) configured to determine the state of a bearing arrangement (18) of the rotary device (10). The bearing arrangement (18) rotatably supports a rotor (16) of an electric motor (14) and / or a rotor arrangement (17) comprising the rotor about an axis of rotation (A). At least one rotational motion parameter describing the rotation about the axis of rotation (A) and at least one power parameter describing the power of the electric motor (14) are determined. The determination of the at least one rotational motion parameter (D) and the at least one power parameter (P) is carried out at a current observation point, in particular at at least one observation point within an observation period (Δt).The at least one rotational motion parameter (D) and the at least one power parameter (P) are evaluated in relation to each other, and a state parameter (B) is determined from this, which describes the state of the bearing arrangement (18). In particular, a linear component of a power-rotational motion correlation (KA) between the at least one current rotational motion parameter (D) and the at least one current power parameter (P) is used for this purpose.

The invention discloses a nonlinear component extraction method based on sliding correlation analysis, and the method comprises the steps: firstly building a bonding layer nonlinear model through ABAQUS finite element simulation, systematically researching the influence of different time window widths on a mixing component extraction effect, and determining an optimal time window parameter; an experiment is carried out based on the parameters, the frequency mixing nonlinear component can be accurately extracted only by using a single detection signal, and the experiment process is simplified; and finally, establishing association with the shear strength of the bonding structure through a normalized nonlinear coefficient, and realizing effective characterization of the bonding strength. According to the method, extraction can be completed only through single-time signal detection, multiple times of signal collection are not needed, and the frequency mixing ultrasonic detection experiment process is greatly simplified. The optimal parameter of the time window width is defined through ABAQUS finite element simulation, and blindness of parameter selection of a traditional method is avoided.