53results about How to "Realize automatic pairing" patented technology

The invention relates to the technical field of array signal processing and discloses a near-field sound source positioning method for estimating a direction of arrival (DOA) of a near-field sound source signal and signal source distance by adopting a speed sensor array. The method has the advantages that a high-order accumulated value is not required to be calculated, so that relatively low operation amount is achieved; automatic paring in parameter estimation can be realized; a distance between two array elements does not need to be limited in the 1/4 wavelength range; the aperture of the array can be expanded by increasing the distance between two array elements; and therefore, the parameter estimation precision of an algorithm can be improved.

The invention relates to the technical field of estimating the signal arrival direction by adopting an array antenna and overcomes the defect in the prior art that the conventional propagation operator-based algorithm cannot utilizes all antenna array elements, wherein a new propagation matrix is constructed. The algorithm solves the angle estimation invalidation problem during the actual mobile communication process with the range of pitch angles to be 70-90 degrees. In this way, the estimation performance for the azimuth angle and the pitch angle is improved. According to the technical scheme of the invention, the propagation operator-based 2-L type array two-dimensional DOA estimation algorithm comprises the steps of 1, constructing a received signal matrix; 2, constructing a propagation matrix; 3, estimating a rotation matrix; 4, estimating the azimuth angle and the pitch angle. The propagation operator-based 2-L type array two-dimensional DOA estimation algorithm is mainly used for the design and the manufacture of infinite detection equipment.

The invention discloses a method for MIMO radar system angle estimation based on fast Fourier transformation. The method for MIMO radar system angle estimation based on fast Fourier transformation comprises the steps that a data matrix received by a first pulse of the radar system is evenly divided and divided signals are expressed in the description, new signals are divided by the four matrix blocks defining; bi-dimensional fast Fourier transformation is respectively conducted to the signals shown in the description; coherent integration is conducted on F11(l), F12(l), F21(l) and F22(l), a peak point shown in the description and the corresponding subscript ix and the corresponding subscript iy are recorded, points corresponding to the subscript ix and the subscript iy are respectively obtained from the F11(l), the F12(l), the F21(l) and the F22(l), so that the vector of f(1) belonging to C4*1 is established; the covariance matrix of the f(1) is calculated according to the sampling covariance matrix inversion principle, characteristic decomposition is conducted on the covariance matrix, and a noise projection matrix pn can be obtained through a noise sub space un; a transmitting oriented vector and a receiving oriented vector br(theta) are obtained according to a receiving data matrix Y(1) and the leaving angle and the reaching angle are estimated through the MUSIC arithmetic.

The invention discloses a high-order cumulant based bistatic MIMO (Multiple Input Multiple Output) radar parameter estimation method. A joint estimation method of DOD (Direction of Departure), DOA (Direction of Arrival) and Doppler frequency of targets under a gauss color noise background is given out according to bistatic MIMO radar echo signal characteristics through a characteristic that high-order cumulant is insensitive to gauss color noise. The high-order cumulant based bistatic MIMO radar parameter estimation method comprises constructing two opposite angle section matrixes of cross-fourth-order cumulant of output signals of adjacent matched filters through airspace and time domain information of the bistatic MIMO radar; decomposing a singular value of the opposite angle section matrixes of the four-order cumulant, estimating the number of targets, reducing dimensions through eigenvalues and eigenvectors and constructing a new matrix; obtaining joint estimation of the Doppler frequency, the DOD and the DOA of the targets through the eigenvalues and eigenvectors of the novel matrix. According to the high-order cumulant based bistatic MIMO radar parameter estimation method which is an effective bistatic MIMO radar parameter estimation method, a target parameter estimation process has no specific requirements for the number of transmission array elements and receiving array elements.

The invention relates to the technical field of using an array antenna to estimate the arrival direction of a received signal. The problem of failed angle estimation in the actual mobile communication pitch angle range with pitch angle from 70 degrees to 90 degrees in conventional two-dimensional DOA estimation is solved, and pitch angle and azimuth matching is realized. According to the improved propagation operator two-dimensional DOA estimation method based on a three-dimensional antenna array, the antenna array is a three parallel linear array; a uniform linear array Y with N+1 array elements is on the y-axis; uniform linear arrays X and Z with N array elements and parallel to the y-axis are respectively in an xoy plane and a yoz plane; and the array element pitch of subarrays and the distance between subarrays Y and Z and subarrays Y and X are half of the wavelength of an incoming wave signal. The method comprises the steps that 1 a received signal matrix is constructed; 2 a propagation matrix is constructed; 3 a rotation matrix is estimated; and 4 the azimuth and the pitch angle are estimated. The method provided by the invention is mainly applied to the design and manufacture of wireless detection equipment.

The invention relates to remote control technology and especially relates to a terminal having an infrared remote control function, and an infrared remote control pairing method. In one embodiment, the terminal includes: a memory storing an infrared code bank, a processor selecting an infrared code from the infrared code bank, an infrared emitter, according to the infrared code, sending an infrared signal to a to-be-remote-controlled device, a sensor sensing status change of the to-be-remote-controlled device after the infrared signal is received, and a processor, according to the status change of the to-be-remote-controlled device, determining whether the terminal is paired successfully with the to-be-remote-controlled device or not. On the basis of a special to-be-remote-controlled device, when the terminal sends the infrared signal to the to-be-remote-controlled device, the status change of the to-be-remote-controlled device is sensed through the sensor in the terminal, and according to the status change, whether the terminal is paired successfully with the to-be-remote-controlled device or not is determined. The invention provides the method for automatically pairing the terminal and the to-be-remote-controlled device, so that automation degree of a pairing process of intelligent remote control is improved.

The invention provides a two-dimensional DOA estimation method based on a parallel nested array. The method comprises the steps of calculating autocorrelation matrix of a first subarray virtual optimized array receiving signal and autocorrelation matrix of a second subarray virtual optimized array receiving signal; calculating cross-correlation matrix of the first subarray virtual optimized arrayreceiving signal and the second subarray virtual optimized array receiving signal and cross-correlation matrix of a second subarray virtual optimized array and a first subarray virtual optimized array; calculating the autocorrelation matrix of the parallel nested array virtual optimized array receiving signal; calculating an estimated value of an incident signal cos alpha; calculating an estimatedvalue of cos beta; calculating an estimated value of an azimuth angle of the Kth signal and the estimated value of a pitch angle. The method uses all of the virtual array elements of a sparse array for estimation, and breaks the limit that the number of estimable signals cannot exceed the number of subarrays.

The invention discloses a Bluetooth connection method and system, and the method mainly comprises the steps that a Bluetooth device builds connection with a terminal for the first time and does not build connection with the terminal for the first time; any one Bluetooth 4.0 device is provided; any Bluetooth terminal is never connected; post-boot, first scanning, the Bluetooth terminal initiates apairing request actively after discovering the device, the Bluetooth device receives the pairing request and establishes connection with the Bluetooth terminal, and the Bluetooth device needs to access all Bluetooth terminal information under the same account of the terminal, stores the Bluetooth terminal information in a memory for logic judgment of non-first connection, and then performs normalcommunication with the Bluetooth terminal. The problems that the existing Bluetooth equipment can only store the connection of two terminals, can be connected with the equipment connected last time when being started each time and is low in efficiency when being connected with the second terminal are solved.

The invention discloses a method for extending a DOA matrix in double-parallel-array two-dimensional direction finding. According to the method, an autocorrelation matrix and a cross-correlation matrix of received data of a double parallel array are completely utilized for constructing an extended DOA matrix; and then the characteristics of the DOA matrix are decomposed, so that to-be-estimated signal direction vector and signal direction element can be directly obtained, and two-dimensional DOA angle estimation of a to-be-estimated signal is obtained. Compared with a traditional DOA matrix method, the method provided by the invention has better DOA estimation performance because the autocorrelation matrix and the cross-correlation matrix of the received data of the double parallel array are completely utilized. The method provided by the invention does not need spatial spectrum search and has relatively low algorithm complexity; and an obtained DOA estimation angle can realize automatic pairing.

The present invention relates to a new algorithm of toughness parallel factor analysis under a pulse noise environment and belongs to the computer application technical field. According to the new algorithm of the invention, an MCC (maximum correntropy criterion) is adopted to improve a TALS criterion-based cost function in a PARAFAC algorithm, so that a new algorithm applied to bistatic MIMO radar target parameter joint estimation under a pulse noise environment can be obtained through derivation. With the new algorithm adopted, the interference of impulsive noises can be effectively suppressed, and automatic matching can be realized. The new algorithm has high estimation accuracy. As indicated by simulation tests, under an impulsive noise and Gaussian noise environment, compared with a TLAS criterion-based PARAFAC algorithm, the MCC_PARAFAC algorithm has better parameter estimation performance and has better adaptability to a sharply-changing signal environment.

The invention is applicable to the technical field of Bluetooth communication, and provides a Bluetooth earphone, a paring method of the Bluetooth earphone, a Bluetooth chip and a storage device. The Bluetooth earphone comprises a random number generating unit used for generating a random number in real time after the Bluetooth earphone is started; a working mode selection unit used for selecting a working mode of the Bluetooth earphone according to the type of the random number, wherein the working mode of the Bluetooth earphone comprises a master earphone mode and a slave earphone mode; and a Bluetooth connection unit used for searching a synchronization header ID packet to connect with external Bluetooth equipment within the residence time of the current working mode. By adoption of the technical scheme of the invention, automatic pairing between two earphones and the earphone and the external sound source equipment can be realized.

The invention discloses an automatic pairing method for a Bluetooth circuit breaker and an electric energy meter, and relates to the technical field of circuit breakers and electric energy meters. Themethod is characterized in that the method comprises the steps of S1 acquiring information; S3 identifying modulated current waves: trying to pair the Bluetooth circuit breakers with the electric energy meters in the list one by one; enabling the Bluetooth circuit breaker to generate a current wave; enabling an electric energy meter connected with the Bluetooth circuit breaker to sample the samecurrent wave; synchronously reading the current information of the electric energy meter; once the read current information does not match the modulated current wave information, terminating the pairing of the Bluetooth circuit breaker , and then enabling the Bluetooth circuit breaker to try to be paired with the next electric energy meter until the electric energy meter which should be really paired is found, and enabling the Bluetooth circuit breaker to write the paired MAC address into the electric energy meter and initiate the reading of the state of the Bluetooth circuit breaker; and S4 switching the Bluetooth circuit breaker into a slave mode and connecting the Bluetooth circuit breaker with the electric energy meter. According to the invention, the corresponding electric energy meter can be found from the plurality of electric energy meters, and automatic pairing of the Bluetooth circuit breaker and the electric energy meter is realized.

The invention relates to an automatic addressing control method and device of a compressor and a multi-compressor system. The method comprises the steps that detection data sent by a parameter detection device are received, wherein the detection data are obtained in the manner that after a current drive board sends a start command to the compressor, the parameter detection device detects parameters of the compressor; the type of the compressor controlled by the current drive board is obtained according to the detection data; and the type of the compressor is sent to the current drive board, wherein the type of the compressor is used for the process that the current drive board starts a corresponding control program for compressor control, and automatic pairing of the compressor and the drive board can be achieved. When wiring errors happen between the compressor and the drive board, automatic error correction can be achieved, unit normal running can be ensured, and compared with a traditional compressor addressing manner, the running reliability of units is improved.

The present invention relates to the technical field of radars. In order to solve the problem of angle estimation invalidation in a real mobile communication pitch angle range with a pitch angle of 70-90 degrees, the problem of pairing of the pitch angle and an azimuth angle and the problem of a singular point in the traditional two-dimensional DOA estimation, the extension aperture two-dimensional combined diagonalization DOA estimation method is implemented by employing a heterogeneous array, and comprises the steps of: (1) constructing a delay cross correlation matrix; (2) constructing a selection matrix to obtain four diagonal matrixes; (3) obtaining a z-axis direction cosine estimated value with low precision and without ambiguity and a z-axis high-precision direction cosine estimatedvalue with ambiguity; (4) obtaining two direction cosine estimated values on the x axis in a similar way; and (5) obtaining direction cosine estimated values with low precision and without ambiguitythrough adoption of an ambiguity-resolving method as shown in the description; and (6) obtaining estimated values of the pitch angle and the azimuth angle and a value as shown in the description. Theextension aperture two-dimensional combined diagonalization DOA estimation method is mainly applied to the DOA occasions for estimation of the received signals.

The invention provides a networking method of an air conditioning system, the air conditioning system, air conditioning equipment and a storage medium. The networking method comprises the steps that an indoor unit obtains and stores a first networking identifier; an outdoor unit obtains and stores a second networking identifier; the outdoor unit sends a networking signal to a power line, wherein the networking signal comprises the second networking identifier; the indoor unit receives the networking signal from the power line and judges whether the second networking identifier in the networking signal is matched with the first networking identifier or not, and when the second networking identifier is matched with the first networking identifier, the indoor unit sends a networking confirmation signal to the outdoor unit through the power line; and the outdoor unit receives the networking confirmation signal from the power line, and performs pairing networking with the indoor unit according to the networking confirmation signal, so that automatic pairing networking can be realized, and the problem of pairing errors is reduced.

The invention provides a wireless teaching device. The wireless teaching device comprises a transmitting end and a receiving end, wherein the transmitting end comprises a UHF (Ultra High Frequency) voice processing-transmitting chip, an embedded digital microphone circuit, an external microphone interface, a microphone selection circuit, a first antenna matching circuit, a 2.4G radio frequency transmitting chip, a key unit, a laser driving circuit, a six-axis gravity angular velocity sensor and a second antenna matching circuit, wherein the receiving end comprises a UHF voice receiving-processing chip and a 2.4G radio frequency receiving chip; the UHF voice processing-transmitting chip is connected with the first antenna matching circuit; and the 2.4G radio frequency transmitting chip is connected with the UHF voice processing-transmitting chip, the key unit, the laser driving circuit, the six-axis gravity angular velocity sensor and the second antenna matching circuit. The wireless teaching device has the beneficial effects that a pairing way is convenient; automatic pairing can be performed at startup; and the functions of automatically allocating UHF frequency points and encrypting can be realized according to pairing ID.

The invention discloses a method for estimating a two-dimensional direction of arrival (DOA) of a coherent signal source under a co-prime area array. The method comprises the following steps: firstly,introducing a spatial smoothing technology to pre-process a covariance matrix of received data, so that the covariance matrix recovers a column full rank; on the basis, the method estimates the direction of arrival of a coherent signal source based on the rotation invariance of the array, and eliminates a fuzzy value by means of the co-prime relationship of two sub-area arrays in the array. Effective positioning of the spatial coherent signal source can be realized, and DOA estimation performance is excellent. In addition, automatic pairing of signal two-dimensional parameters can be realizedwithout an additional angle pairing method, and two-dimensional spectral peak search is not required in parameter estimation, so that the algorithm is low in complexity.

The invention relates to the field of meter-wave radar two-dimensional angle estimation algorithms, in particular to a meter-wave radar high-precision two-dimensional angle estimation algorithm. The method is a two-dimensional angle estimation algorithm based on a CCM SVD algorithm and a least square algorithm, and the two-dimensional angle estimation algorithm comprises the following steps: S1, obtaining the rough estimation of a pitch angle through employing the CCM-SVD algorithm; S2, in combination with the coarse estimation of the pitch angle and the received signals of the X-axis array and the Z-axis array, using a least square algorithm to solve azimuth angle fine estimation; S3, obtaining rough estimation of an azimuth angle by utilizing a singular value CCM-SVD algorithm based on across covariance matrix; and S4, in combination with the rough estimation of the azimuth angle and the received signals of the X-axis array and the Z-axis array, solving the fine estimation of the pitch angle by adopting a least square algorithm. The angle estimated by the method has very high estimation precision, and the estimated azimuth angle and pitch angle can be automatically paired.

The invention discloses a DOA matrix augmentation method based on angle and frequency joint estimation. An angle and frequency joint estimation problem in a single-delay array signal receiving systemis discussed by taking array signal processing as a background, and an augmented DOA matrix method based on the single-delay array signal receiving system is proposed and discussed on the basis of a traditional DOA matrix method. An augmented DOA matrix is constructed by utilizing autocorrelation and cross-correlation matrixes of received data of the signal system, and then a signal direction vector and a signal direction element to be estimated are directly obtained through characteristic decomposition of the DOA matrix, so DOA angle and frequency estimation of a to-be-estimated signal is obtained. Compared with the traditional DOA matrix method, the method provided by the invention completely utilizes the autocorrelation matrix and the cross-correlation matrix of the received data of thesignal receiving system, so the method has better angle and frequency estimation performance. The method is advantaged in that spatial spectrum search is not needed, algorithm complexity is low, andthe obtained DOA estimation angle and frequency estimation can be automatically paired.

The invention provides a method for detecting weight of wound exudate. The method is used for detecting weight information of wound exudate in an exudate collecting box and comprises steps as follows: when the exudate collecting box doesn't contain the wound exudate, the identification code of the exudate collecting box is acquired, and the weight of the empty exudate collecting box is acquired; after treatment for preset time, when the exudate collecting box contains the wound exudate, the identification code of the exudate collecting box is acquired again, and the weight of the exudate collecting box containing the wound exudate is measured; the weight of the wound exudate is acquired and sent to a negative pressure treatment device connected with the exudate collecting box. The exudate collecting box can be automatically paired with a patient and the negative pressure treatment device by means of the provided method and device for detecting the weight of the wound exudate as well as a negative pressure treatment system, the accurately measured weight of the wound exudate in the exudate collecting box is shared, and effective reference is provided for adjustment and treatment.

The invention discloses a medical instrument pairing method and platform, a server and gateway equipment, and the method comprises the steps: firstly receiving a pairing request, transmitted by the gateway equipment, of a medical instrument, judging whether the medical instrument currently has a pairing relation or not according to the pairing request, updating the pairing relation if the medicalinstrument currently has the pairing relation, and otherwise updating the pairing relation; and if not, creating a new pairing relationship, and sending a pairing success response to the gateway device after pairing. The gateway devices can be in one-to-one correspondence with the users, when the medical instruments have the pairing relationship, it is indicated that the medical instruments are paired with other users, and at the moment, the pairing relationship is updated according to the pairing request, so that the medical instruments uniquely correspond to the users corresponding to the gateway devices, and therefore, the workload of manual pairing can be eliminated for medical personnel; and the error probability of medical staff is reduced. Moreover, automatic pairing can be realized, and the operation difficulty of the user is reduced.