36results about How to "Achieving Interference Suppression" patented technology

Disclosed are a method and a device for transmitting bandwidth information, which are used to implement the transmission of bandwidth information in a CoMP system. The method comprises: a base station determining a transmission bandwidth based on downlink data or a reference signal for which a UE is required to learn bandwidth information in a plurality of coordinated multipoint cells; the base station sending to the UE the indication information of the determined transmission bandwidth corresponding to the corresponding downlink data or reference signal; and the base station determining, according to the transmission bandwidth determined based on the reference signal, a physical resource to be occupied by the reference signal and a sequence of the reference signal, and transmitting the sequence of the reference signal on the physical resource, or the base station determining, according to the transmission bandwidth determined based on the downlink data, a physical resource to be occupied by the downlink data, sending the indication information of the physical resource to the UE, and then transmitting the downlink data on the physical resource.

The invention discloses a "zero-degree" interference suppression method for downward-looking multi-beam synthetic aperture imaging sonar. The signal echo model is used to obtain the echo signal in the cylindrical coordinate system; the echo signal in the cylindrical coordinate system is processed by depthwise pulse compression to obtain the depthwise imaging signal; the depthwise imaging signal is processed by cross-course beamforming to obtain The cross-course beamforming signal; according to the sonar height data from the bottom measured by the Doppler log, combined with the distribution characteristics of the scattering intensity of the substrate echo signal, the echo intensity compensation factor is calculated; through the echo intensity compensation factor The amplitude compensation of the heading beamforming signal is performed to suppress the "zero degree" interference, and the suppressed cross-heading beam signal is obtained; the suppressed cross-heading beam signal is processed along the heading synthetic aperture, and the imaging result along the heading is obtained.

The invention discloses an optimized weighted CSI feeding back method for cooperative beam forming, which comprises that: in a cooperative beam forming mode, a terminal (UE) estimates the state information of a channel from a service cell to the terminal by using a channel state indication reference signal (CSI-RS); the UE estimates the state information of an equivalent channel from main interfering neighboring cell to the UE by using a demodulation reference signal (DMRS); and the UE calculates a weighted CSI by using the state information of the channel from the service cell to the UE and the state information of the equivalent channel from the main interfering neighboring cell to the UE and feeds the weighted CSI to the service cell. The invention also provides an optimized weighted CSI feeding back device for cooperative beam forming. With the method and the device, channel information interaction between the service cell and the main interfering neighboring cell is not required in the feedback of the weighted CSI.

The invention provides a Femtocell interference suppression method combing with a frequency spectrum distribution and a power control, relates to a Femtocell interference suppression method, and aims to achieve interference suppression between the Femtocell and a macro cellular when the Femetocell and the macro base state adopt a common communication channel configuration or part of the common communication channel configuration. The Femtocell interference suppression method comprises the following steps: firstly, the sensing-based frequency spectrum distribution scheme is used to divide the frequency spectrum into a specific frequency spectrum for the macro cellular and a macro cellular common frequency spectrum for Femtocell; based on Doppler parameter low speed of a reference signal received by a macrocell, the speed of a macro cellular UE (User Experience) around the Femtocell is evaluated; whether the macro cellular user uses the specific frequency spectrum for the macro cellular or not is determined according to the threshold value of the speed; and the used frequency spectrum resource is determined by the reported feedback value of a CQI (Channel Quality Indicator). Meanwhile, the power control means is started when the intensiveness of the Femtocell reaches a certain threshold to evaluate the amount of active Femtocell in each cluster, and the Femtocell initial interference tolerance is set up by broadcast. The invention is suitable for the Femtocell interference suppression.

The invention is a high-precision interference alignment narrowband interference suppression algorithm for a broadband private network system. The present invention detects interference clusters and their numbers through a double threshold method, and performs interference suppression processing if they exist. The combination of FFT and CZT realizes the precise estimation of NBI frequency on the local spectrum, which improves the accuracy of NBI frequency estimation of group users affected by NBI; uses spectrum shift to realize the interference alignment between NBI and OFDM subcarriers, reducing NBI Spectrum leakage improves the BER performance of the OFDM broadband private network system in the presence of narrowband interference. The present invention improves the BER performance of the narrowband interference suppression algorithm of narrowband interference suppression in the frequency domain of the broadband private network system, and is useful for the coexistence and compatibility of the NB-IoT narrowband network and the broadband private network system in the 5G era, and improves the universality of the broadband private network system to the environment. Important theory and application value.

The invention proposes method for detecting symbols of an OFDMA multiaerial system with multiple information source signals transmitted on the same wireless resource. The method comprises the following steps: a. grouping received information signal vectors and pilot frequency symbolic vectors, the information signal vectors and pilot frequency symbolic vectors in each group are adjacent on subcarriers and symbol periods and are allocated with at least one empty symbol vector; b. estimating user interference matrixes according to empty symbol vectors in each group; c. estimating space characteristics according to the pilot frequency symbol vectors and / or information signal vectors in each group; d. generating a beam forming weight according to the space characteristics and user interference matrixes in each group; e. space combining the information signal vectors and the pilot frequency symbol vectors in each group; f. extracting at least one space-combined information signal and pilotfrequency symbol from each group and detecting the information symbols. The invention also proposes a device for detecting symbols and can suppress interference in interference and multi-path fading channels and realize time-frequency diversity.

The invention discloses a passive intermodulation interference cancellation method and system based on a recursive network. The system and the method comprises a passive intermodulation interference cancellation system (a cancellation system for short) based on the recursive network and a passive intermodulation interference cancellation method (a cancellation method for short) based on the recursive network. The cancellation system comprises a feature analysis processing module, a recursive network estimation module and a cancellation feedback adjustment module. The cancellation method comprises the steps of 1, receiving a signal; 2, judging whether the received signal is in a pilot time slot or not, and jumping to the 3 or 6; 3, extracting features and carrying out network initialization; 4, preprocessing the received signal and removing pilot; 5, carrying out prediction training on the recursive network, thereby obtaining a one-step-ahead prediction recursive network; 6, preprocessing a data transmission time slot receiving signal; 7, predicting a PIM interference signal of a next moment by employing a result of the 5, and finishing interference cancellation; 8, processing collected difference values before and after decoding, feeding back a processing result, and updating network parameters; and 9, judging whether cancellation is finished or not, and deciding to wait or to jump to the 6. According to the method and the device, the system adaptability is high, the cancellation precision is high, and the hardware realization is easy.