WO2018098706A1

WO2018098706A1 - Signal processing method, device, and system

Info

Publication number: WO2018098706A1
Application number: PCT/CN2016/108075
Authority: WO
Inventors: 张彬彬; 王伟; 张烈
Original assignee: 华为技术有限公司
Priority date: 2016-11-30
Filing date: 2016-11-30
Publication date: 2018-06-07
Also published as: CN109314523A; CN109314523B

Abstract

The present application discloses a signal processing method, device, and system, which relate to the field of communications. The method comprises: a compression end performing bit-width compression on an input signal to obtain a first quantization noise and a compressed signal; the compression end compressing the first quantization noise to obtain second quantization noise, a spatial direction of the second quantization noise being the same as that of a valid signal in the compressed signal; the compression end forming a data frame from the compressed signal and the second quantization noise and sending the data frame to a decompression end, the data frame being used to instruct the decompression end to use the second quantization noise obtained by de-framing to cancel in-beam noise in the compressed signal to obtain an output signal. The present application can ensure that an output signal recovered by the decompression end according to the second quantization noise and the compressed signal is not distorted and the quality of the output signal is improved. In addition, a total data volume of the second quantization noise and the compressed signal is small, thereby reducing data traffic transmitted by a CPRI.

Description

Signal processing method, device and system

Technical field

The present application relates to the field of communications, and in particular, to a signal processing method, apparatus, and system.

Background technique

A distributed base station is a typical form of a modern mobile communication system, and its main equipment includes a Remote Radio Unit (BBU) and a Baseband Unit (RRU), and a common public wireless interface (Common) between the BBU and the RRU. Public Radio Interface; CPRI) for data transmission.

In recent years, Massive MIMO systems combined with Massive Multiple-Input Multiple Output (Massive MIMO) and distributed base stations have become a new trend due to their high-capacity revenue. Due to the large number of antennas and the large signal bandwidth in the Massive MIMO system, the data traffic that the CPRI needs to transmit is sharply increased compared to the conventional base station. Therefore, the signal transmitted by the CPRI needs to be compressed.

In the related art, the compression end compresses each signal according to the correlation characteristic of the signal transmitted by each antenna in the time dimension, and transmits the compressed signals to the decompression end through CPRI, and the decompression end according to the feature The road signal is decompressed. Wherein, when the compression end is a BBU, the decompression end is an RRU; when the compression end is an RRU, the decompression end is a BBU.

Within the Error Vector Magnitude (EVM) error allowed by the Massive MIMO system, the above-mentioned time domain-based signal processing method can achieve a compression ratio of 2:1, which is far from satisfying the traffic compression requirement of the Massive MIMO system.

Summary of the invention

In order to solve the problems in the related art, the present application provides a signal processing method, apparatus and system. The technical solution is as follows:

In a first aspect, a signal processing method is provided. The method includes: compressing, performing bit width compression on an input signal to obtain a first quantization noise and a compressed signal; and compressing the first quantization noise to obtain a second quantization noise, Sending the compressed signal and the second quantization noise component data frame to the decompression end, The spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal. Therefore, the decompressing end cancels the intra-beam noise in the compressed signal by using the second quantization noise obtained by the de-frame to obtain an output signal.

Since the compression end sends the second quantization noise together with the compressed signal to the decompressing end, and the second quantization noise can cancel the in-beam noise in the compressed signal, even if the compression ratio of the bit width compression is high, the decompression end can be guaranteed according to The second quantization noise and the output signal recovered by the compressed signal are not distorted, and the quality of the output signal is improved; and the higher the compression ratio, the smaller the data amount of the compressed signal, although the amount of data of the first quantization noise is large at this time, The compression end also compresses the first quantization noise to obtain a second quantization noise. Therefore, the total amount of data of the second quantization noise and the compressed signal is small, thereby reducing the data flow of the CPRI transmission.

In a first possible implementation manner of the first aspect, the compression end compresses the first quantization noise to obtain the second quantization noise, including: the compression end performs spatial filtering on the first quantization noise; and performs the filtered noise. Compression, resulting in a second quantization noise.

Since the noise obtained after filtering has a time domain sparse characteristic, the compression end can compress the noise again to reduce the amount of data of the obtained second quantization noise.

With reference to the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the input signal is bit-width compressed at the compression end to obtain the first quantization noise and the compressed signal. Previously, the method further includes: the compressed end performs spatial whitening preprocessing on the input signal, and the spatial whitening preprocessing is used to remove the correlation between the first quantization noises of the respective paths.

The pre-processing of the spatial whitening can make the first quantization noises of each channel uncorrelated, so that the distribution of the first quantization noise in the airspace is as white as possible.

In conjunction with the second possible implementation of the first aspect, in a third possible implementation manner of the first aspect, the airspace whitening pre-processing includes at least one of the following:

Adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise with a predefined random seed;

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.

In a second aspect, a signal processing method is provided, the method comprising: receiving, by a decompression end, a data frame sent by a compression end, the data frame is composed of a compressed signal and a second quantization noise, and the second quantization noise is compressed by the compression end to the first quantization The noise is compressed, and the first quantization noise and the compressed signal are input from the compression end to the input signal. The bit width is compressed, and the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal; the received data frame is deframed to obtain a compressed signal and a second quantization noise; and the second quantization noise is utilized. The in-beam noise in the compressed signal is cancelled to obtain an output signal.

In a first possible implementation manner of the second aspect, before the output signal is obtained, the method further includes: performing, by the decompression end, spatial filtering on the signal obtained after the cancellation.

Since the second quantization noise can only cancel the intra-beam noise in the compressed signal, the signal obtained after the cancellation also includes the off-beam noise. Therefore, the decompressed end also needs to perform spatial filtering on the cancelled signal to remove the The out-of-band noise in the signal further removes the invalid signal in the compressed signal and improves the quality of the output signal.

With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, before the output signal is obtained, the method further includes: performing, by the decompression end, performing inverse spatial whitening processing on the filtered signal, The airspace whitening inverse processing is the inverse process of spatial whitening preprocessing, and the spatial whitening preprocessing is used to remove the correlation between the first quantization noises of each channel.

In conjunction with the second possible implementation of the second aspect, in a third possible implementation manner of the second aspect, the airspace whitening pre-processing includes at least one of the following:

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.

In a third aspect, a signal processing apparatus is provided, the apparatus comprising:

a compression unit, configured to perform bit width compression on the input signal to obtain a first quantization noise and a compressed signal; Compressing the first quantization noise to obtain a second quantization noise, wherein a spatial direction of the second quantization noise is the same as a spatial direction of the effective signal in the compressed signal;

a sending unit, configured to send the compressed signal and the second quantization noise component data frame obtained by the compression unit to the decompressing end, where the data frame is used to indicate that the decompressing end uses the second quantization noise obtained by the deblocking to cancel the in-beam noise in the compressed signal. Get the output signal.

In a first possible implementation manner of the third aspect, the compressing unit is further configured to perform spatial filtering on the first quantization noise, and compress the filtered noise to obtain second quantization noise.

With reference to the third aspect, or the first possible implementation manner of the third aspect, in a second possible implementation manner of the third aspect, the device further includes:

a processing unit, configured to perform spatial whitening preprocessing on the input signal before the compression unit performs bit width compression on the input signal to obtain the first quantization noise and the compressed signal, and the spatial whitening preprocessing is used to remove the first quantization noise between the channels. Relevance.

In conjunction with the second possible implementation of the third aspect, in a third possible implementation manner of the third aspect, the airspace whitening pre-processing includes at least one of the following:

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.

In a fourth aspect, a signal processing apparatus is provided, the apparatus comprising:

a receiving unit, configured to receive a data frame sent by the compression end, the data frame is composed of a compressed signal and a second quantization noise, and the second quantization noise is obtained by compressing the first quantization noise by the compression end, and the first quantization noise and the compressed signal are compressed by The terminal performs bit width compression on the input signal, and the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal;

a deframing unit, configured to deframe the data frame received by the receiving unit to obtain a compressed signal and a second quantization noise;

And a processing unit, configured to cancel the in-beam noise in the compressed signal by using the second quantization noise obtained by the deframing unit to obtain an output signal.

In a first possible implementation manner of the fourth aspect, the device further includes:

And a filtering unit, configured to perform spatial filtering on the signal obtained after the cancellation, before the processing unit obtains the output signal.

With reference to the first possible implementation manner of the fourth aspect, in a second possible implementation manner of the fourth aspect,

The processing unit is further configured to perform spatial whitening inverse processing on the filtered signal before obtaining the output signal, and the spatial whitening inverse processing is the inverse process of the spatial whitening preprocessing, and the spatial whitening preprocessing is used to remove the first quantization noise of each channel. The correlation between them.

In conjunction with the second possible implementation of the fourth aspect, in a third possible implementation manner of the fourth aspect, the airspace whitening pre-processing includes at least one of the following:

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.

In a fifth aspect, a signal processing apparatus is provided, the apparatus comprising: a bus, and a processor, a memory, and a transceiver coupled to the bus. Wherein the memory is for storing a plurality of instructions, the instructions being configured to be executed by the processor;

a processor for performing bit width compression on the input signal to obtain a first quantization noise and a compressed signal; compressing the first quantization noise to obtain a second quantization noise, a spatial direction of the second quantization noise, and an effective signal in the compressed signal The airspace is in the same direction;

a transceiver, configured to send the compressed signal and the second quantization noise component data frame obtained by the processor to the decompressing end, where the data frame is used to indicate that the decompressing end uses the second quantization noise obtained by the deblocking to cancel the in-beam in the compressed signal. Noise, get the output signal.

In a first possible implementation manner of the fifth aspect, the processor is further configured to perform spatial filtering on the first quantization noise, and compress the filtered noise to obtain second quantization noise.

With reference to the fifth aspect or the first possible implementation manner of the fifth aspect, in a second possible implementation manner of the fifth aspect, the processor is further configured to perform bit width compression on the input signal to obtain the first quantization Before the noise and the compressed signal, the input signal is subjected to spatial whitening preprocessing, and the spatial whitening preprocessing is used to remove the correlation between the first quantization noises of each channel.

With reference to the second possible implementation manner of the fifth aspect, in a third possible implementation manner of the fifth aspect, the airspace whitening pre-processing includes at least one of the following:

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.

In a sixth aspect, a signal processing apparatus is provided, the apparatus comprising: a bus, and a processor, a memory, and a transceiver coupled to the bus. Wherein the memory is for storing a plurality of instructions, the instructions being configured to be executed by the processor;

The transceiver is configured to receive a data frame sent by the compression end, the data frame is composed of a compressed signal and a second quantization noise, and the second quantization noise is obtained by compressing the first quantization noise by the compression end, and the first quantization noise and the compressed signal are compressed by The terminal performs bit width compression on the input signal, and the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal;

And a processor, configured to deframe the data frame received by the transceiver to obtain a compressed signal and a second quantization noise; and cancel the in-beam noise in the compressed signal by using the second quantization noise to obtain an output signal.

In a first possible implementation manner of the sixth aspect, the processor is further configured to perform spatial filtering on the signal obtained after the cancellation before the output signal is obtained.

With reference to the first possible implementation manner of the sixth aspect, in a second possible implementation manner of the sixth aspect, the processor is further configured to perform spatial domain on the filtered signal before obtaining the output signal The whitening inverse processing, the spatial whitening inverse processing is the inverse process of spatial whitening preprocessing, and the spatial whitening preprocessing is used to remove the correlation between the first quantization noises of each channel.

With reference to the second possible implementation manner of the sixth aspect, in a third possible implementation manner of the sixth aspect, the airspace whitening pre-processing includes at least one of the following:

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.

DRAWINGS

1 is a schematic structural diagram of a signal processing system according to an exemplary embodiment of the present application;

2A is a schematic structural diagram of a BBU and an RRU provided by an exemplary embodiment of the present application;

2B is a schematic structural diagram of a BBU and an RRU provided by an exemplary embodiment of the present application;

FIG. 3 is a flowchart of a method for processing a signal according to an exemplary embodiment of the present application; FIG.

4 is a schematic diagram of spatial domain filtering of a first quantization noise provided by an exemplary embodiment of the present application;

FIG. 5 is a schematic diagram of noise cancellation provided by an exemplary embodiment of the present application; FIG.

6 is a schematic diagram of spatial domain filtering of an offset signal provided by an exemplary embodiment of the present application;

7 is a structural block diagram of a compression end and a decompression end provided by an exemplary embodiment of the present application;

FIG. 8 is a schematic structural diagram of a signal processing apparatus according to an exemplary embodiment of the present application; FIG.

FIG. 9 is a schematic structural diagram of still another signal processing apparatus according to an exemplary embodiment of the present application.

detailed description

In order to make the objects, technical solutions and advantages of the present application more clear, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

Please refer to FIG. 1 , which shows a schematic structural diagram of a signal processing system 100 provided by an exemplary embodiment of the present application. The signal processing system 100 includes a compression end 110 and a decompression end 120 .

When the signal processing system 100 is the distributed base station 100, the compression end 110 may be the BBU 110, and the decompression end may be the RRU 120. Alternatively, the compression end 110 may be the RRU 110, and the decompression end 120 may be the BBU 120.

Since one BBU can be connected to multiple RRUs, FIG. 1 exemplarily shows a scenario where the compression end 110 is the BBU 110, the decompression end is the RRU 120, and one BBU 110 is connected to the N RRUs 120.

Please refer to FIG. 2A , which is a schematic structural diagram of the BBU 110 and the RRU 120 provided by an exemplary embodiment of the present application.

The BBU 110 includes a processor, a transceiver coupled to the processor, a memory, and a power source. The memory is coupled to the processor via a bus or other means, and the power source is coupled to the bus.

The transceiver is used to receive or transmit signals.

The processor can perform various processing on signals received via the transceiver or transmitted via the transceiver, such as modulating signals transmitted via the transceiver, demodulating signals received via the transceiver. In actual implementation, the processor may be a central processing unit (CPU), a network processor (English: network processor, NP) or a combination of CPU and NP. The processor may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The above PLD can be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), and a general array logic (GAL). Or any combination thereof.

The memory may be a volatile memory (English: volatile memory), a non-volatile memory (English: non-volatile memory) or a combination thereof. The volatile memory can be a random access memory (RAM), such as static random access memory (SRAM), dynamic random access memory (English: dynamic random access memory) , DRAM). The non-volatile memory can be a read only memory image (ROM), such as a programmable read only memory (PROM), an erasable programmable read only memory (English: erasable) Programmable read only memory, EPROM), electrically erasable programmable read only memory Text: Electrically erasable programmable read-only memory (EEPROM). The non-volatile memory can also be a flash memory (English: flash memory), a magnetic memory, such as a magnetic tape (English: magnetic tape), a floppy disk (English: floppy disk), a hard disk. The non-volatile memory can also be an optical disc.

The processing method of the spatial whitening preprocessing, the calculation formula and the parameters of each processing mode are stored in the memory, and the details are as described in the following step 301.

The power supply is used to provide electrical energy.

The RRU 120 includes a processor, a transceiver coupled to the processor, a memory, and a power supply. The memory is coupled to the processor via a bus or other means, and the power supply is coupled to the bus. The hardware implementation of each device in the RRU 120 is the same as that of the corresponding device in the BBU 110, and details are not described herein.

Since the implementation functions of the transceivers in the BBU 110 and the RRU 120 are different, the implementation functions of the transceivers in the BBU 110 and the RRU 120 are different. The processors and transceivers in the BBU 110, the processors in the RRU 120, and the transceivers are respectively transmitted from the perspective of implementing functions. The device is described in detail.

Please refer to FIG. 2B , which is a schematic structural diagram of the BBU 110 and the RRU 120 provided by an exemplary embodiment of the present application.

The transceiver in the BBU 110 includes a transmission interface unit and a first CPRI. The transmission interface unit is configured to communicate with a Radio Network Controller (RNC). That is, the transmission interface unit transmits a signal to the RNC, or the transmission interface unit receives the signal transmitted by the RNC. The first CPRI is for communicating with a second CPRI in the RRU 120. That is, the first CPRI transmits a signal to the second CPRI, or the first CPRI receives the signal transmitted by the second CPRI.

The processor in the BBU 110 includes an uplink and downlink baseband resource pool, a first main control unit, and a first monitoring unit connected to the transmission interface unit. The uplink and downlink baseband resource pools are used to receive signals, and the signals are processed and output. That is, the transmission interface unit processes the signal transmitted by the transmission interface unit, and transmits the processed signal to the first CPRI; or the transmission interface unit processes the signal sent by the first CPRI, and sends the processed signal to the signal. Transmission interface unit. The first main control unit is used for control at the service level. For example, resource allocation is performed for users accessing the BBU 110. The first monitoring unit is used for monitoring at the device level. For example, monitor the operation of the BBU110.

The transceiver in RRU 120 includes a second CPRI and an antenna. The second CPRI is used to communicate with the first CPRI in the BBU 110. That is, the second CPRI transmits a signal to the first CPRI, or the second CPRI receives the signal transmitted by the first CPRI. Optionally, the RRU 120 may also not include an antenna. At this time, the RRU 120 is connected to the antenna.

The processor in the RRU 120 includes a digital intermediate frequency connected to the second CPRI, a Transceiver Receiver (TRX) connected to the digital intermediate frequency, a radio frequency front end connected to the TRX, a duplexer connected to the RF front end, and a second main control unit. And a second monitoring unit. The digital intermediate frequency is used to convert the digital baseband signal sent by the second CPRI into a digital intermediate frequency signal and sent to the TRX; or the digital intermediate frequency is used to convert the digital intermediate frequency signal sent by the TRX into a digital baseband signal and send the signal to the first CPRI. The TRX is used to convert the digital intermediate frequency signal sent by the digital intermediate frequency into a radio frequency analog signal and send it to the RF front end; or, the TRX is used to convert the RF analog signal sent by the RF front end into a digital intermediate frequency signal and send it to the digital intermediate frequency. The RF front end includes a Power Amplifier (PA) and a Low-Noise Amplifier (LNA). The second main control unit is used for control at the service level. For example, resource allocation is performed on users accessing the RRU 120. The second monitoring unit is used for monitoring at the device level. For example, monitoring the operation of the RRU 120.

It should be noted that, in order to distinguish the power source in the BBU 110 and the RRU 120, the power source in the BBU 110 is referred to as a first power source, and the power source in the RRU 120 is referred to as a second power source. Similarly, in the present embodiment, the memory in the BBU 110 is referred to as a first memory, and the memory in the RRU 120 is referred to as a second memory.

Referring to FIG. 3, a flow chart of a method for signal processing provided by an exemplary embodiment of the present application is shown. This signal processing method can be applied to the signal processing system 100 shown in FIG. 1. The method includes:

In step 301, the compression end performs spatial whitening preprocessing on the input signal, and the spatial whitening preprocessing is used to remove the correlation between the first quantization noises of the respective paths.

The present embodiment is applied to a Massive MIMO system. When the compression end is a BBU, since one BBU is connected to multiple RRUs, and each RRU can transmit one signal, one BBU may receive multiple input signals at the same time. Each input signal is subjected to spatial whitening preprocessing to change the spatial distribution of the first quantization noise of each channel, thereby removing the correlation between the first quantization noises of the respective channels. When the compression end is an RRU, although each RRU can only receive one input signal, since one BBU is connected to multiple RRUs, multiple RRUs may simultaneously send respective input signals to the BBU, so each RRU needs The spatial whitening pre-processing is performed on the respective input signals to change the spatial distribution of the respective first quantization noises, and the correlation between the first quantization noises of the respective channels is removed. The first quantization noise is noise obtained by performing bit width compression on the input signal.

The airspace whitening pre-processing includes at least one of the following: 1) adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise of a predefined random seed; 2) for each input signal Different amplitude adjustments are made; 3) different phase adjustments are made for each input signal; 4) different frequency adjustments are made for each input signal.

In the implementation, the above four processing modes and the calculation formulas and parameters of each processing mode are pre-stored in the compression end. When pseudo-random noise is added to the input signal, the calculation formula is a pseudo-random noise generation formula, and the parameter is a random seed; when the input signal is adjusted with different amplitudes, the calculation formula is an amplitude adjustment formula, and the parameter is an amplitude value; When the input signal is adjusted for different phases, the calculation formula is the phase adjustment formula, and the parameter is the phase value. When the input signal is adjusted with different frequencies, the calculation formula is the frequency adjustment formula, and the parameter is the frequency value.

When the compression end uses only one of the above processing methods to perform spatial whitening preprocessing on the input signal, the input signal is directly processed according to the calculation formula and parameters; when the compression end adopts at least two processing methods to perform spatial whitening preprocessing on the input signal At the time of compression, the processing sequence of the at least two processing modes is pre-stored in the compression end, and according to the processing sequence, the input signals are sequentially processed according to the calculation formula and parameters of each processing mode.

It should be noted that before the spatial signal whitening preprocessing of the input signal, the compression end may also rate compress the input signal to reduce the data amount of the input signal by reducing the oversampling rate of the input signal. Specifically, the compression end may change the inverse orthogonal Fourier Transformation (IFFT) points of the Orthogonal Frequency Division Multiplexing (OFDM) modulation of the input signal, and adopt a fractional filter pair. The input signal is filtered or the like, which is not limited in this embodiment.

Step 302: The compression end performs bit width compression on the input signal to obtain a first quantization noise and a compressed signal.

The compression method of the bit width compression may be a truncation of the input signal, or a short-term average power normalization of the input signal, and rounding off the normalized signal, the implementation The example is not limited.

After the compression end performs bit width compression on the input signal by using the above compression method, the first quantization noise and the compressed signal are obtained. The first quantization noise is the error signal generated during the compression process.

It should be noted that the compression ratio of the bit width compression in this embodiment is higher than the compression ratio of the bit width compression in the related art, that is, the compression end in this embodiment performs deep bit width compression on the input signal. Thus, the data amount of the first quantization noise obtained by the bit width compression in this embodiment is higher than that in the related art. The data amount of the quantization noise obtained by the bit width compression is smaller than the data amount of the compressed signal obtained by the bit width compression in the related art in the present embodiment.

Step 303: The compression end performs spatial filtering on the first quantization noise.

The implementation technology of the spatial domain filtering is very mature, and is not described in this embodiment.

In this embodiment, the spatial direction of the spatially filtered noise is the same as the spatial direction of the effective signal in the compressed signal. Please refer to the schematic diagram of spatial domain filtering of the first quantization noise shown in FIG. 4, wherein the black circular part in the left figure represents the spatial distribution of the first quantization noise, and the broken line part represents the effective signal in the assumed compressed signal in the beam. The spatial distribution of the airspace; the black elliptical portion in the right image is the spatial distribution of the spatially filtered noise.

Step 304: The compression end compresses the noise obtained by the filtering to obtain a second quantization noise, and the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal.

Since the noise obtained after filtering has a time domain sparse characteristic, the compression end can compress the noise again to reduce the amount of data of the obtained second quantization noise. It should be noted that the total data amount of the second quantization noise and the compressed signal is smaller than the data amount of the compressed signal obtained by the bit width compression in the related art.

Wherein, the compression method of the noise obtained after filtering may be a truncation of rounding noise, or may be a short-term average power normalization of noise, and rounding off the noise obtained by normalization. The embodiment is not limited.

Since the compression of the noise does not change the spatial direction of the noise, the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal.

Step 305: The compression end sends the compressed signal and the second quantization noise component data frame to the decompressing end.

The implementation technology of the compressed data and the second quantization noise to form a data frame is very mature, and is not described in this embodiment.

Since the total amount of data of the second quantization noise and the compressed signal is smaller than the data amount of the compressed signal obtained by the bit width compression in the related art, the present embodiment is compared with the method of transmitting the compressed signal to the decompressed end by CPRI in the related art. In the example, when the compressed signal and the second quantization noise component data frame are transmitted to the decompressing end by CPRI, the amount of data transmitted by the CPRI is smaller.

Step 306, the decompressing end receives the data frame sent by the compression end.

Step 307: The decompressing end deframes the received data frame to obtain a compressed signal and a second quantization noise.

Step 308, the decompressing end uses the second quantization noise to cancel the in-beam noise in the compressed signal.

Since the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal, the second quantization noise can cancel the in-beam noise in the compressed signal. Thus, even if the compression ratio of the bit width compression is high, it is ensured that the output signal recovered by the decompression end according to the second quantization noise and the compressed signal is not distorted, thereby improving the quality of the output signal.

Referring to the schematic diagram of noise cancellation shown in FIG. 5, the black elliptical portion in the upper left diagram represents the spatial distribution of the second quantization noise; the black circular portion in the lower left diagram represents the spatial distribution of noise in the compressed signal. The white elliptical portion represents the spatial distribution of the effective signal in the compressed signal within the beam; the graph in the right graph represents the spatial distribution of the signal obtained after cancellation, the black portion represents noise, and the white portion is the effective signal in the compressed signal. The spatial distribution within the beam.

Step 309, the decompressing end performs spatial filtering on the signal obtained after the cancellation.

Please refer to the schematic diagram of the spatial domain filtering of the cancelled signal shown in FIG. 6. The graph in the left graph represents the spatial distribution of the signal obtained after the cancellation; the graph in the right graph represents the spatial distribution of the filtered signal. Among them, the black part represents noise, and the white part is the spatial distribution of the effective signal in the compressed signal in the beam.

Step 310: The decompressing end performs the spatial whitening inverse processing on the filtered signal to obtain an output signal, and the spatial whitening inverse processing is the inverse process of the spatial whitening preprocessing.

Among them, the airspace whitening inverse processing is the reverse process of spatial whitening pretreatment. For example, when the compression end adds pseudo-random noise to the input signal, the decompressed end subtracts the pseudo-random noise from the obtained signal; when the compression end increases the amplitude of the input signal by x, the decompressed end reduces the amplitude of the obtained signal by x, etc. .

In the implementation, the inverse processing methods of the four processing modes of the spatial whitening preprocessing and the calculation formulas and parameters of each inverse processing mode are pre-stored in the decompression end.

When the compression end only uses the above-mentioned inverse processing method to inverse the spatial whitening of the input signal, the signal is directly inversely processed according to the calculation formula and parameters; when the compression end uses the above at least two inverse processing methods to perform the spatial whitening inverse on the signal During processing, the compression end further pre-stores the processing sequence of the at least two inverse processing modes, and according to the processing sequence, the signals are processed in turn according to the calculation formula and parameters of each inverse processing mode. The processing order of at least two inverse processing modes in the spatial whitening inverse processing is opposite to the processing order of at least two processing manners in the spatial whitening preprocessing.

It should be noted that if the compression end performs rate compression on the input signal, the decompression end needs to recover the rate of the signal obtained by the spatial whitening inverse processing, and the recovered signal is used as the output signal. The rate recovery is an inverse process of rate compression, which is not described in this embodiment.

Please refer to the structural block diagram of the compression end and the decompression end shown in FIG. 7, which shows the respective processing flows in the compression end and the decompression end.

In summary, in the signal processing method provided by the embodiment of the present application, the second quantization noise and the compressed signal are sent to the decompression end together, and the second quantization noise can cancel the intra-beam noise in the compressed signal, so even The compression ratio of the bit width compression is higher, and the output signal recovered by the decompressing end according to the second quantization noise and the compressed signal is not distorted, thereby improving the quality of the output signal; and the higher the compression ratio, the smaller the data amount of the compressed signal. Although the amount of data of the first quantization noise is large at this time, the compression end compresses the first quantization noise to obtain the second quantization noise, and therefore, the total amount of data of the second quantization noise and the compressed signal is small, thereby reducing Data traffic transmitted by CPRI.

Please refer to FIG. 8 , which is a schematic structural diagram of a signal processing apparatus according to an exemplary embodiment of the present application. The signal processing apparatus is implemented as a whole or a part of a BBU by software, hardware, or a combination of the two. The processing device may include:

The compressing unit 810 is configured to perform the foregoing steps 302, 303, and 304.

The sending unit 820 is configured to perform step 305 above.

Optionally, the apparatus further includes a processing unit (not shown in FIG. 8) for performing the above step 301.

It should be noted that the foregoing compression unit 810 can be implemented by a processor in the BBU; the foregoing sending unit 820 can be implemented by a transceiver in the BBU.

Please refer to FIG. 9 , which is a schematic structural diagram of still another signal processing apparatus provided by an exemplary embodiment of the present application. The signal processing apparatus is implemented as a whole or a part of an RRU by software, hardware, or a combination of both. The signal processing device may include:

The receiving unit 910 is configured to perform step 306 above.

The deframing unit 920 is configured to perform step 307 above.

The processing unit 930 is configured to perform the foregoing

steps

308 and 310.

Optionally, the apparatus further includes a filtering unit (not shown in FIG. 9) for performing the above step 309.

It should be noted that the foregoing receiving unit 910 can be implemented by a transceiver in the RRU; the above-mentioned deframing unit 920 can be implemented by a processor in the RRU; the foregoing processing unit 930 can be implemented by a processor in the RRU. .

An exemplary embodiment of the present application also provides a signal processing system including a signal processing device as shown in FIG. 8 and a signal processing device as shown in FIG.

It should be noted that the signal processing apparatus provided by the foregoing embodiment is only illustrated by the division of the above functional modules when performing signal processing. In actual applications, the function allocation may be completed by different functional modules as needed. That is, the internal structure of the signal processing device is divided into different functional modules to perform all or part of the functions described above. In addition, the signal processing device and the signal processing method embodiment provided in the foregoing embodiments are in the same concept, and the specific implementation process is described in detail in the method embodiment, and details are not described herein again.

The serial numbers of the embodiments of the present application are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods to implement the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit may be only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined. Or it can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication through some interface, device or unit. Connections can be in electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including The instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

The foregoing is only a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application. It should be covered by the scope of protection of this application. Therefore, the scope of protection of the present application should be determined by the scope of the claims.

Claims

A signal processing method, characterized in that the method comprises:

The compression end performs bit width compression on the input signal to obtain a first quantization noise and a compressed signal;

The compression end compresses the first quantization noise to obtain a second quantization noise, and a spatial direction of the second quantization noise is the same as a spatial direction of the effective signal in the compressed signal;

Transmitting, by the compression end, the compressed signal and the second quantization noise component data frame to a decompressing end, where the data frame is used to indicate that the decompressing end cancels the compression by using the second quantization noise obtained by deframing The in-beam noise in the signal gives the output signal.
The method according to claim 1, wherein the compression end compresses the first quantization noise to obtain a second quantization noise, including:

The compression end performs spatial filtering on the first quantization noise;

The compression end compresses the noise obtained after filtering to obtain the second quantization noise.
The method according to claim 1 or 2, wherein before the compression end performs bit-bit compression on the input signal to obtain the first quantization noise and the compressed signal, the method further includes:

The compression end performs spatial whitening preprocessing on the input signal, and the spatial whitening preprocessing is used to remove correlation between the first quantization noises of the respective channels.
The method according to claim 3, wherein the airspace whitening pre-processing comprises at least one of the following:

Adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise with a predefined random seed;

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.
A signal processing method, characterized in that the method comprises:

The decompressing end receives a data frame sent by the compression end, where the data frame is composed of a compressed signal and a second quantization noise, and the second quantization noise is obtained by compressing the first quantization noise by the compression end, where the a quantization noise and the compressed signal are obtained by bit width compression of the input signal by the compression end, and the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal;

The decompressing end deframes the received data frame to obtain the compressed signal and the second quantization noise;

The decompressing end cancels the intra-beam noise in the compressed signal by using the second quantization noise to obtain an output signal.
The method according to claim 5, further comprising: before said obtaining the output signal, further comprising:

The decompressing end performs spatial filtering on the signal obtained after the cancellation.
The method according to claim 6, wherein before the obtaining the output signal, the method further comprises:

The decompressing end performs spatial domain whitening inverse processing on the filtered signal, and the spatial whitening inverse processing is an inverse process of spatial whitening preprocessing, and the spatial whitening preprocessing is used to remove correlation between the first quantization noises of each path. Sex.
The method according to claim 7, wherein the spatial whitening pre-processing comprises at least one of the following:

Adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise with a predefined random seed;

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.
A signal processing device, characterized in that the device comprises:

a compression unit, configured to perform bit width compression on the input signal to obtain a first quantization noise and a compressed signal; compressing the first quantization noise to obtain a second quantization noise, a spatial direction of the second quantization noise and the The spatial direction of the effective signal in the compressed signal is the same;

a sending unit, configured to send the compressed signal and the second quantization noise component data frame obtained by the compression unit to a decompressing end, where the data frame is used to indicate that the decompressing end uses a deframed The second quantization noise cancels the in-beam noise in the compressed signal to obtain an output signal.
The device according to claim 9, wherein the compression unit is further configured to:

Performing spatial filtering on the first quantization noise;

The noise obtained after filtering is compressed to obtain the second quantization noise.
The device according to claim 9 or 10, wherein the device further comprises:

a processing unit, configured to perform spatial whitening preprocessing on the input signal before performing bit width compression on the input signal to obtain the first quantization noise and the compressed signal, where the spatial whitening preprocessing is used to remove each path The correlation between the first quantization noises.
The apparatus according to claim 11, wherein said airspace whitening pre-processing comprises at least one of the following:

Adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise with a predefined random seed;

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.
A signal processing device, characterized in that the device comprises:

a receiving unit, configured to receive a data frame sent by the compression end, where the data frame is composed of a compressed signal and a second quantization noise, where the second quantization noise is obtained by compressing the first quantization noise by the compression end, where a quantization noise and the compressed signal are obtained by bit width compression of the input signal by the compression end, and the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal;

a deframing unit, configured to deframe the data frame received by the receiving unit, to obtain the compressed signal and the second quantization noise;

And a processing unit, configured to cancel the intra-beam noise in the compressed signal by using the second quantization noise obtained by the de-frame unit to obtain an output signal.
The device according to claim 13, wherein the device further comprises:

And a filtering unit, configured to perform spatial filtering on the signal obtained after the cancellation, before the processing unit obtains the output signal.
The device of claim 14 wherein:

The processing unit is further configured to perform spatial whitening inverse processing on the filtered signal before obtaining the output signal, where the spatial whitening inverse processing is an inverse process of spatial whitening preprocessing, and the spatial whitening preprocessing is used for removing The correlation between the first quantization noises of each channel.
The apparatus according to claim 15, wherein said airspace whitening pre-processing comprises at least one of the following:

Adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise with a predefined random seed;

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.
A signal processing device, characterized in that the device comprises a bus, and a processor, a memory and a transceiver connected to the bus. Wherein the memory is for storing a plurality of instructions, the instructions being configured to be executed by the processor;

The processor is configured to perform bit width compression on the input signal to obtain a first quantization noise and a compressed signal, and compress the first quantization noise to obtain a second quantization noise, where the spatial direction of the second quantization noise is The spatial direction of the effective signal in the compressed signal is the same;

The transceiver is configured to send the compressed signal and the second quantization noise component data frame obtained by the processor to a decompressing end, where the data frame is used to indicate that the decompressing end uses the deframed The second quantization noise cancels the in-beam noise in the compressed signal to obtain an output signal.
The device according to claim 17, wherein the processor is further configured to:

Performing spatial filtering on the first quantization noise;

The noise obtained after filtering is compressed to obtain the second quantization noise.
The apparatus according to claim 17 or 18, wherein said processor is further used to:

Performing spatial whitening preprocessing on the input signal before performing bit width compression on the input signal to obtain the first quantization noise and the compressed signal, and the spatial whitening preprocessing is used to remove the correlation between the first quantization noises of the respective channels. .
The apparatus according to claim 19, wherein said airspace whitening pre-processing comprises at least one of the following:

Adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise with a predefined random seed;

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.
A signal processing device, characterized in that the device comprises a bus, and a processor, a memory and a transceiver connected to the bus. Wherein the memory is for storing a plurality of instructions, the instructions being configured to be executed by the processor;

The transceiver is configured to receive a data frame sent by the compression end, where the data frame is composed of a compressed signal and a second quantization noise, and the second quantization noise is obtained by compressing the first quantization noise by the compression end, where The first quantization noise and the compressed signal are obtained by bit width compression of the input signal by the compression end, and the spatial direction of the second quantization noise is the same as the spatial direction of the effective signal in the compressed signal;

The processor is configured to deframe the data frame received by the transceiver to obtain the compressed signal and the second quantization noise, and cancel the used in the compressed signal by using the second quantization noise In-beam noise, the output signal is obtained.
The device according to claim 21, wherein the processor is further configured to:

The spatially filtered signal is obtained after the cancellation before the output signal is obtained.
The device according to claim 22, wherein the processor is further configured to:

Before the output signal is obtained, the filtered signal is subjected to spatial whitening inverse processing, and the spatial whitening inverse processing is an inverse process of spatial whitening preprocessing, and the spatial whitening preprocessing is used to remove each path. The correlation between the first quantization noises.
The apparatus according to claim 23, wherein said airspace whitening pre-processing comprises at least one of the following:

Adding uncorrelated pseudo-random noise to each input signal, each pseudo-random noise is a random noise with a predefined random seed;

Adjust each input signal to different amplitudes;

Adjust the phase of each input signal differently;

Different frequency adjustments are made for each input signal.
A signal processing system, characterized in that the system comprises the signal processing device according to any one of claims 9 to 12 and the signal processing device according to any one of claims 13 to 16.
A signal processing system, characterized in that the system comprises the signal processing device according to any one of claims 17 to 20 and the signal processing device according to any one of claims 21 to 24.