195 results about "Equalization algorithm" patented technology

A method and apparatus for detecting a target or targets in a surrounding background locale based on target signatures obtained by a hyperspectral imaging sensor used the hyperspectral imaging sensor to collect raw target signature data and background locale data during a first data collection mission. The data is processed to generate a database including a plurality of target signatures and background data relating to the background locale. The hyperspectral imaging sensor is later used to collect further background data during a further, current data collecting mission so as to provide continuously updated background data, in real time. A covariance equalization algorithm is implemented with respect to the background data contained in the database and the updated background data collected during the current mission to effect transformation of each target signature of the database into a transformed target signature. A detection algorithm which employs the resultant transformed target signature is used to produce detection information related to the target or targets.

The invention discloses a smart phone-based indoor positioning and pedestrian tracking method. The method comprises the following steps: 1, preliminarily determining the position and the locus of a sensor in a phone; 2, fusing and preprocessing indoor information; 3, assisting the preliminarily positioned position information by using the fused information; and 4, calculating an accurate linear locus according to the fused information by using an improved equalization algorithm, and correcting the angle error of a pedestrian at a corner by using an improved algorithm in order to integrally realize accurate positioning and pedestrian locus tracking. The method solves the partial fusion problem of existing indoor position, integrates the functions of the smart phone, ingeniously fuses all indoor position through the improved algorithm, improves the positioning and locus accuracy of the indoor pedestrian, utilizes the functions of the daily necessity phone in life, and has the advantagesof low consumption and convenience.

A method for equalizing the received signal in communications based on filterbank multicarrier modulations and, more particularly, to such a method and system especially advantageous in situations where the channel frequency selectivity is exceptionally high. The method significantly improves the performance of traditional filterbank equalization algorithms based on finite impulse response filters at the output of the receive filterbank. Furthermore, the system consists of multiple parallel stages, the number of which can be tuned to achieve a good compromise between performance and computational complexity. Thanks to this modular structure, and to the fact that most of the architecture can be efficiently implemented using fast Fourier transforms, the system presents a very low computational complexity compared to more traditional equalizers for filterbank multicarrier modulations.

The invention discloses a digital video image enhancement achieving system and method based on an FPGA. The digital video image enhancement achieving method based on the FPGA mainly comprises the steps of dehazing processing on a current frame image and anti-reflection processing on the current frame image, wherein the step of dehazing processing on the video image is achieved through a dark channel prior dehazing algorithm, and a good dehazing effect can be achieved; the step of anti-reflection processing on the current frame image is achieved through an image histogram equalization algorithm, and the effect of converting a low-illumination-level gray image into a clear image can be achieved. By the adoption of the image dehazing process and the image anti-reflection process, the brightness, contrast ratio and color saturation of the image can be improved, and the image can be clearer, transparent and saturated in color.

The invention discloses a polarized interweaving OFDM (Orthogonal Frequency Division Multiplexing)/SCFDM (Singe Carrier Frequency Division Multiplexing) passive optical network system, belonging to the field of optical communication. During single sideband transmission of the system, an OLT (Optical Line Terminal) unit comprises carrier modulating units 1 and 2, wherein the carrier modulating unit 1 is connected with a beam combination input end of a polarized beam combiner; the control end of an electro-optical modulator 1 is connected with a transmitter through an up-converter 1; the carrier modulating unit 2 is connected with the other beam combination input end of the polarized beam combiner through an electro-optical modulator 2; the electro-optical modulator 2 is connected with a transmitter through an up-converter 2; the beam combination output end of the polarized beam combiner is connected with a wave filter; a frequency interval exists between the output frequency of the carrier modulating unit 1 and the output frequency of the carrier modulating unit 2; an ONU (Optical Network Unit) comprises a polarized beam splitter and an MIMO (Multiple Input Multiple Output) receiver; and a 2*2 MIMO equalization algorithm is adopted for the MIMO receiver. According to the system, the problem of polarization crosstalk is solved, and the transmission bandwidth is increased.

Blind channel equalization methods, receivers and systems incorporating the same for use in a multiple-input, multiple-output, (MIMO) wireless communication system are described. Signal equalization is achieved by devising a characteristic system convolution matrix and algebraically operating on said convolution matrix by equalizing functions generated from second order statistics of the received signals. Such equalization is done with an aim to removing or suppressing inter-symbol interference elements from the received signals to enable satisfactory signal recovery. The described methods, systems and receivers, have the benefits of retaining the speed and processing power efficiency of equalization algorithms based on second order statistics while substantially insensitive to the accuracy of channel order estimates.

The invention provides a non-iterative blind phase noise compensation method suitable for a CO-OFDM system. Non-iterative operation is performed via an approximation cost function and the CPE rough estimation value of each OFDM symbol is calculated, then the residual CPE estimation value is calculated by using a decision-directed phase equalization algorithm (DDPE), and finally phase noise compensation is completed. The cost function is introduced in calculation of the CPE rough estimation value, and the form includes the real part and the imaginary part of the frequency domain data of certain OFDM symbol after rotation of any angle. The cost function is perfectly approximated to a new cost function with a cosine function expression form, the rotation angle value is obtained when the new cost function takes the minimal value, and the rotation angle value is the CPE rough estimation value of the OFDM symbol. The invention provides the non-iterative blind phase noise compensation method suitable for the CO-OFDM system, and the non-iterative blind phase noise compensation method suitable for the CO-OFDM system is relatively high in frequency utilization rate, relatively low in complexity, low in the requirement for hardware resources, and high in practicality.

The invention provides a method for realizing the equalization of an FBMC system by utilizing improved sphere decoding algorithm, which comprises the following steps: by setting up an FBMC system model, and defining FBMC system parameters, analyzing the main factors of the equalization algorithm performance affecting the FBMC system; carrying out the improved sphere decoding algorithm; and carrying out simulation experiments for the algorithm and comparing; and analyzing simulation results. The improved sphere decoding algorithm means that the equalization of the FBMC system can be realized by lowering the complexity of the sphere decoding algorithm, and comprises the following steps: defining the equalization of the FBMC system; and realizing the equalization of the FBMC system by the method of probability estimate of d'2-LB (k-1) >= | | zk: M-Rk: M, K: Mbk: M | | 2 to lower the complexity of the sphere decoding algorithm. The invention utilizes the improved decoding algorithm to lower the bit error rate and the complexity of equalization algorithm of the FBMC system, and carries out verification by the simulation experiments, and the simulation results show that the improved decoding algorithm obviously lowers the complexity of the algorithm, has less loss of performance, has higher superiority and better meets the requirements of modern communications for real-time signal processing particularly when the signal to noise ratio is smaller, and has good prospects for development.

The invention provides a method for identifying a flash memory block. An identification area of the flash memory block is divided into a logical address identification section, a data status identification section and a reading and writing control section, the logical address identification section is corresponding to a logical address identification of an identification data section, the data status identification section is corresponding to an idle state, a busy state and an erasing state of the identification data section respectively and the reading and writing control section is corresponding to a storing state, a to-be-written state and an erasing state of a data recording section. When a data storing section which data needs to be written to is stored with data, the erasing operation time of the data section during the course of writing data is omitted and the data writing speed of the flash memory data is improved. When the flash memory is not in data read-write status, erasing operation is conducted for the erased data section of the reading and writing control section, the erased data section is sorted according to the loss equalization algorithm and the logical address identification section of the data region is updated at the same time, which improves the flash memory operation efficiency and ensures the service life of the flash memory.

The invention discloses a low-complexity super-Nyquist transmission method. Information sequence is Gaussian pulse shaped and performs super-Nyquist code element speed transmission, a receiving end uses a gaussian pulse shaping filter matched with a transmitting end to perform matching filter on a received signal, and the receiving end performs sampling on output of a matching filter with the same super-Nyquist sampling rate with the transmitting end. The maximum likelihood sequence estimation (MLSE) is performed on a sampling signal to compensate the intersymbol interference (ISI) of the receiving signal, soft value output information is obtained, and the system bit error rate (BER) performance can be further improved through performing iteration exchange on prior soft value information between a channel decoder and a FTN equalizer. The adopted gaussian shaping pulse can make the FTN transmission system ISI tap energy to rapidly decay, the MLSE equalization algorithm is adopted, only less ISI tap amount can acquire quasi-optimal BER performance, and the system realization complexity is greatly reduced.

The invention discloses a photon probability shaping signal transmission method based on a few-mode multi-core optical fiber. The method comprises the following steps: carrying out probability shapingconstellation mapping on multiple paths of parallel bit data streams to obtain a 16QAM signal; enabling a modulator to modulate a 16QAM signal to laser, and then converting the 16QAM signal into a signal in a high-order mode after mode conversion; enabling a few-mode multi-core optical fiber entry mode multiplexer to realize different-mode transmission and space division multiplexing of differentprobability signals; enabling a receiving end to carry out demultiplexing through a space division mode division multiplexer, decomposing the optical signal into multiple signals, sending the signalsto a photoelectric detector for detection, converting the optical signal into an electric signal to obtain multiple 16QAM signals, and carrying out dispersion compensation on the converted 16QAM signals; carrying out MIMO equalization processing on the 16QAM signal symbol in an MIMO equalizer by applying an adaptive step length equalization algorithm so as to carry out compensation mode couplingand modal delay; and finally, performing corresponding probability shaping constellation de-mapping and digital signal processor processing to obtain initial bit data.

The invention relates to a lithium battery pack management system. The lithium battery pack management system comprises N sets of lithium batteries, N slave control panel cards, a main control board and a host computer. The system can monitor the voltage, the charging and discharging currents, the operating temperature and the environmental temperature of a single lithium battery in real time, equalization control can be performed on the single battery with a large state difference according to the detected voltage of the lithium battery and an equalization algorithm brought forward, and the consistency of the battery is improved. According to collected parameters, the main control board can give an SOC estimated value, provides a charging and discharging management strategy, and extends the service lifetime of the battery. The host computer displays the collected state information, control information, abnormality information and alarm information of a lithium battery pack and provides friendly man-computer interaction. Meanwhile, a similar modularization design scheme is brought forward for hardware development of the system, and the maintenance cost can be effectively reduced.

The invention relates to the technical field of short-wave data communication and specifically discloses a narrow-band short-wave channel equalization algorithm under a variable channel coefficient. The algorithm comprises the following specific steps: step 1) modeling a short-wave channel and performing initial estimation on the short-wave channel; step 2) utilizing a DDEA (data directed equalization algorithm) channel equalization algorithm to estimate the best estimation value of a user data sequence, and solving the user data sequence; step 3) performing short-wave channel tracking and solving the channel coefficient at any sampling time; step 4) utilizing a VCC-DDEA (variable channel coefficient-data directed equalization algorithm) to eliminate inter-symbol interference introduced in a training sequence and solving the best estimation value of the user data sequence under a time-varying channel; and step 5) amending user data which is estimated by the DDEA algorithm, further tracking the channel and amending a short-wave channel tracking value. The DDEA equalization algorithm using the variable channel coefficient to eliminate the inter-symbol interference introduced in the training sequence is adopted in the algorithm provided by the invention, thereby effectively improving the performance of narrow-band short-wave single-tone serial data communication and improving the signal-noise ratio by more than 5dB under the conditions of the same communication data rate and the same error rate.

The invention discloses a visible light communication equalization method based on a radial basis function neural network. The method is used for improving bit error rate performance of the visible light communication, improving equalization algorithm convergence speed and reducing the complexity degree of the traditional neural network equalization. The method comprises the following steps: sending a signal to a receiving end from a sending end through a visible light channel, analyzing a relation between an input signal and a transmitting signal of an equalizer, accomplishing nonlinear change of the signal through a neural network implicit strata determined by a radial basis function, mapping the input to an exit layer, performing linear weighting on an implicit node output by an outputlayer and optimizing an equalizer structure; performing center vector learning by using k-mean clustering algorithm, training the neural network, and minimizing the error function; finally performingjudgment output, recovering a sending sequence, and realizing an equalization aim. The invention realizes a visible light communication equalization method based on the radial basis function neural network, the communication quality and a transmission rate of the visible light communication are improved, the training duration of the equalization algorithm is shortened, and the system complexity isreduced.

The invention discloses a method for realizing memory-type power amplifier linearization and its baseband predistortion device. The method firstly obtains a loop delay and a parameter of the memoryless predistortion unit by a narrow band training sequence with a specific frame structure and a corresponding self-adaptive algorithm, then compensates the memory effect of the power amplifier when transmitting the broad band signals by an equalizer and an equalizing arithmetic. The base band predistortion device comprises a narrow band training sequence generating unit, a self-adaptive memoryless predistorter, a self-adaptive equalizer. The output of the narrow band training sequence generating unit is fed to the memoryless predistortion unit, modifies the parameters of the memoryless predistortion unit by the self-adaptive algorithm, inputs the broad band signal sequence to the self-adaptive equalizer after the algorithm is convergent, modifies the parameter of the equalizer to compensate the memory effect of the power amplifier. The invention has a low computation, which is easy to realize and suitable for correcting the non-linear property of the power amplifier with the memory effect and the common power amplifier.

The invention is applicable to the technical field of artificial intelligence, provides an image segmentation method based on a neural network and a terminal device. The method includes processing theoriginal image based on the preset equalization algorithm, generating a reference image, dividing the reference image into a plurality of slices, reading pixel point data of each pixel point in the slice, and assigning a number to each slice, simultaneously inputting the pixel data of the preset number of adjacent slices into the preset neural network model, outputting segmentation parameters corresponding to the slices whose numbers are centered, and taking the pixel points covered by the slices corresponding to the segmentation parameters satisfying the preset conditions as the pixel pointscovered by the target image, thereby segmenting the target image, so as to improve the automation degree of image segmentation and recognition.

The invention relates to a virtual multi-input multi-output relay transmission method based on space-time block coding. The chain between each relay station and each base station carries out transmission in a virtual MIMO manner of space-time block coding, and the chain between user equipment and a relay station carries out transmission in a maximum specific value combination manner. Each relay station transmitter in an uplink chain adopts the transmission manner of space-time block coding of two transmission antennas and uses the same time-frequency resource to communicate with a base station receiver under the base station dispatch. In the relay station receiver of the uplink chain, estimation and detection of the transmission modulating symbols on a user terminal are finished, and in the time slot of the subsequent relay station and the base station chain, the detected modulating symbols transmitted by the user terminal are transferred to the receiver of the base station. The base station receiver in the uplink chain finishes separation of user signals by adopting a multi-user space-time combined equalization algorithm. The invention increases the network coverage area, the uplink transmission volume and the frequency band use ratio and maintains low-peak average ratio of the transmitter in the uplink chain of the relay station.

The invention discloses an arbiter for serial data bus-based streaming media transmission system terminal equipment and provides a bus arbiter in the terminal equipment. Multiple sets of terminal equipment are connected in series through a serial bus and the frontmost terminal equipment is connected in series with central control equipment. The bus arbiter comprises a data reading unit, at least one storage, at least one priority calculator, a comparator and an upstream port. The bus arbiter is used for arbitrating data using the serial bus, overcomes the shortcomings of both static priority arbitration algorithm and equalization algorithm, takes advantage of the advantage of short average waiting time of the dynamic priority algorithm, ensures that each module has equal chance of using the bus, increases the utilization rate of the bus and is simple to implement.

The invention discloses an interference and noise elimination method and device. The method comprises the following steps of: extracting a pilot frequency sequence received by a user from a receiving signal, and obtaining an interference and noise spatial characteristic matrix according to the extracted receiving pilot frequency sequence and a local sending pilot frequency sequence; determining an interference and noise relative ratio according to the interference and noise spatial characteristic matrix; and carrying out comparison on the determined interference and noise relative ratio and the predetermined threshold, selecting a corresponding equalization algorithm to carry out equalization according to a comparative result, and eliminating the interference and noise. According to the technical scheme provided by the invention, the problem of deteriorated system performances due to adopting an equalization method in a robust mode because of the unknown magnitude of interference in a communication system is solved, thereby improving the communication characteristics of cell edge users, and farthest improving the throughput of cell centre users.

The invention provides a single carrier frequency domain equalization method of mobile communication of low-orbit satellites, and relates to single carrier frequency domain equalization technology of mobile communication of low-orbit satellites. The single carrier frequency domain equalization method provided by the invention aims at solving the problem of signal distortion of a mobile communication system of low-orbit satellites. In the mobile communication system of the low-orbit satellites, in an IBDFE algorithm, approximate processing is carried out on a received signal that has been processed on the basis of a linear equalization algorithm for one time before decision feedback, iterative equalization output and an MSE in the frequency domain are derived successively, values of an equalization tap coefficient and a feedback filter tap coefficient in an IBDFE equalizer are acquired, and single carrier frequency domain equalization of the mobile communication of the low-orbit satellites is achieved. The single carrier frequency domain equalization method provided by the invention is applicable to the single carrier frequency domain equalization of the mobile communication of the low-orbit satellites.

The invention discloses an adaptive equalization algorithm based on a QAM (Quadrature Amplitude Modulation) modulation way. The method comprises the following sub-steps that: S1, a data transmitting end transmits a signal including a training sequence; S2, a frame synchronization module determines a frame data starting position and a training sequence position; and S3, a channel estimation module calculates an IIR filter coefficient according to the training sequence, wherein A, when the training sequence calculation is not finished, the IIR filter filters the training sequence signal in order to lower signal correlation, and equalization calculation is performed on the training sequence signal with a large iteration step length according to an LMS (Least Mean Square) equalization algorithm; and B, when the training sequence calculation is finished, the IIR filter filters the signal with a determined coefficient in order to lower the signal correlation, and the equalization calculation is performed on the signal with a small iteration step length according to the LMS equalization algorithm. Thus, an equalizer algorithm has low calculation complexity and a good equalization effect under QAM modulation, and the requirements of actual engineering applications are met.