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383 results about "Real signal" patented technology

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Multi-mode radio transmitters and a method of their operation

A multi-mode radio transmitter for use in mobile radio cellular standards, such as 2G, 2.5G and 3G, and a method of operating the transmitter in which an input signal is modulated independently of controlling the drive of a power amplifier (PA) module (40). The transmitter comprises circuitry (12, 60) for extracting the phase (θ) and amplitude (R) components from envelope information in the input signal. A modulator (110) uses the phase component (θ) to produce a constant-envelope signal comprising a phase modulated real signal at the transmitter frequency. This signal is multiplied in a multiplier (72) with either a fixed bias voltage (Vg1) to produce a constant envelope signal or a low level envelope tracking signal derived from an amplitude component (R) by a first amplitude control circuit (78) to produce a signal modulated exactly by the amplitude component. An output from the multiplier is applied to the PA module (40) having a control input (41). The PA module is controllable in a plurality of manners dependent on the characteristics and the required output power of the signal being transmitted. These manners include applying a predetermined fixed voltage to the control input or a less precise envelope tracking signal which is derived by a second amplitude control circuit (120) from the amplitude component (R).
Owner:NXP BV

Phased array digital multi-beam forming machine for electron reconnaissance

The invention discloses a phased array digital multi-beam generator for electronic reconnaissance, for the high resolution direction measurement having strong and weak signals or coherent multi signals, and forming the multi-target signal into anti-interference digital multi-beam to form a multi-beam process: first, in a data acquisition pretreatment board, an AD samples intermediate frequency analogue real signals output by each array antenna receiver, a DPS and a FPGA chip are cooperated to complete quadrate sampling and amplitude phase error correction; the intermediate frequency analogue actual signals are converted into a baseband digital complex signal and the amplitude phase error between the multi channels is corrected; a LVDS channel transmits the baseband digital complex signal to a signal processing board, the DPS completes the high resolution direction measurement having strong and weak signals or coherent multi signals and calculates the weight value group formed by the adaptive beam; the weight value group is added into the wave beam in the signal processing board FPGA to form a network; completing forming anti-interference digital multi-beam of the multi-target signal; an up frequency converter converts the output of the anti-interference digital multi-beam into needed intermediate frequency analogue signal.
Owner:XIDIAN UNIV

Method for judging pollution of dust sensor, wiping system and cleaning robot thereof

The invention provides a method for judging the pollution of a dust sensor, a wiping system and a cleaning robot thereof. The dust sensor comprises a pair of optical signal elements, wherein the pair of optical signal elements are arranged at both sides of a dust passage and respectively used for transmitting and receiving optical signals; and one sides of the optical signal elements, which are close to the dust passage, are respectively provided with a transparent plate used for keeping dust out and protecting the dust sensor. The method for judging the pollution of the dust sensor comprises the following steps of: carrying out analog/digital conversion on a real signal received by the dust sensor, and then solving an arithmetic mean value; and when the obtained arithmetic mean value is less than a certain preset value, judging that the transparent plates of the dust sensor need to be wiped. Thus the pollution degree of the transparent plates of the dust sensor is judged in real time, a wiping mechanism of the wiping system of the dust sensor is automatically started in time to wipe the transparent plates, therefore the accurate judgment of the dust sensor on dust quantity is effectively ensured, and the intelligent cleaning robot can normally work all the time.
Owner:ECOVACS ROBOTICS (SUZHOU ) CO LTD

Method for identifying pipeline leakage

The invention discloses a method for identifying pipeline leakage, which comprises the following steps: aiming at two observation signals of adjacent sensors, using the signals as an input signal and a reference signal of a self-adapting filter respectively, and extracting a weight vector of the filter during convergence, wherein the weight vector is the optimal estimation of the correlation functions of the two observation signals; judging that a pipeline probably leaks when the weight vector of the filter during the convergence has a peak value, otherwise judging that the pipeline has no leakage; and when the judgment result is that the pipeline probably leaks, calculating the weight vector complexity value of the part beyond one neighborhood of the envelope peak value of the weight vector, and inputting the weight vector complexity value into a decision algorithm to finally determine whether the pipeline leaks really. The method has the following technical advantages: not only the noise-signal ratio of signals is improved, but also the correlated characteristics about leakage signals shared in the two signals are highlighted, and the decision algorithm is adopted to perform quantitative analysis on the complexity of the self-adapting filtering weight vector, eliminate noise interference and identify whether a signal source is a real signal source having the leakage.
Owner:中瓴埃斯科(重庆)环保产业有限公司

Digital modulation signal classification method based on union features

The invention particularly relates to a digital modulation signal classification method based on union features, and the method comprises the following steps: (A) obtaining an intermediate frequency real signal after performing ADC sampling for an intercepted signal by a receiving end; (B) preprocessing the intermediate frequency real signal to obtain an intermediate frequency complex signal; (C)obtaining an instantaneous feature quantity, a higher-order statistics and a spectrum feature of the intermediate frequency complex signal, and identifying the signal according to the features, if theidentified signal is a 2ASK signal, a BPSK signal, a QPSK signal, a OQPSK signal and a 8PSK signal, ending the classification; if the identified signal is a MFSK or MQAM modulation main class, executing next step; (D) performing line class internal identification for the MFSK or QAM modulation main class, identifying out a modulation order M in the current modulation main class and then ending the classification. The method combines various features to perform modulation identification, classifies the signals of which features are approximate through multi-level spectrum features, and therebyhas high identification rate and wide range of application.
Owner:成都玖锦科技有限公司

Self-adaption anti-deception system and self-adaption anti-deception method for resisting active decoy jamming

The invention discloses a self-adaption anti-deception system and a self-adaption anti-deception method for resisting active decoy jamming. A radar transmitting module generates and transmits deceptive pulse signals and real signals according to radar signal parameters; a radar receiving module simultaneously receives target echo targets and active decoy jamming signals transmitted by a jammer; a signal processing module performs pulse compression and detection on the received signals and calculates a difference value between a target gain and a surrounding clutter or jamming gain; an adaptive algorithm module judges whether the gain difference value is in accordance with an expected value or not, the radar signal parameters obtained in a last period are transmitted to the radar transmitting module if the gain difference value is in accordance with the expected value, and otherwise, new radar signal parameters are calculated according to the gain difference value by adoption of a self-adaption algorithm and transmitted to the radar transmitting module. The self-adaption anti-deception system and the self-adaption anti-deception method for resisting active decoy jamming have advantages that jamming correlation is destroyed to weaken jamming effects from the source, the jammer is disabled to intercept real radar pulse signals, and anti-jamming effects are improved.
Owner:SHANGHAI INST OF ELECTROMECHANICAL ENG

Adaptive redundant lifting wavelet noise reduction analysis-based bearing failure recognition method

The invention relates to an adaptive redundant lifting wavelet noise reduction analysis-based bearing failure recognition method, belonging to the technical field of failure recognition of a rolling bearing. The technical scheme is that the method comprises the following steps of: (1) performing adaptive redundant lifting wavelet transformation of a bearing vibration signal; (2) performing variable-size threshold noise reduction processing on a high-frequency detail signal obtained by each decomposition process; (3) performing complete reverse reconstruction on a low-frequency approximation signal obtained by final decomposition and a high-frequency detail signal subjected to wavelet threshold noise reduction; and (4) performing Hilbert demodulation processing on a reconstructed signal to obtain an envelope spectrogram of an initial vibration signal, extracting and recognizing a frequency component in the spectrogram, and judging that a bearing fails if frequency conversion or failure characteristic frequency and even corresponding frequency multiplication occurs. The adaptive redundant lifting wavelet noise reduction analysis-based bearing failure recognition method has the beneficial effects that a threshold can be flexibly selected according to the characteristic of change of noise in a wavelet region, so that noise can be filtered better, and meanwhile, the completeness of a real signal can also be guaranteed as much as possible.
Owner:宣化钢铁集团有限责任公司 +2
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