CN111800227A

CN111800227A - Virtual inspection filtering method and device, storage medium and receiver

Info

Publication number: CN111800227A
Application number: CN202010614385.6A
Authority: CN
Inventors: 王琤; 张凯; 杨殷
Original assignee: RDA Microelectronics Shanghai Co Ltd
Current assignee: RDA Microelectronics Shanghai Co Ltd; RDA Microelectronics Inc
Priority date: 2020-06-30
Filing date: 2020-06-30
Publication date: 2020-10-20

Abstract

A virtual inspection filtering method and device, a storage medium and a receiver are provided, the method comprises the following steps: decoding and checking the data to be processed; if the verification is passed, encoding the decoded data obtained by decoding to obtain encoded data; comparing the coded data with the data to be processed bit by bit, and counting the number of error bits; and determining whether the decoding check result of the data to be processed is false check according to the number of the error bits. The scheme of the invention can effectively reduce the probability of false detection.

Description

Virtual inspection filtering method and device, storage medium and receiver

Technical Field

The invention relates to the technical field of communication, in particular to a virtual inspection filtering method and device, a storage medium and a receiver.

Background

In a narrowband internet of things system, due to the need to support limited coverage, a communication system needs to operate under a low or extremely low Signal-to-Noise Ratio (SNR). And the frequency domain resource of the narrow-band system is very limited, and the sending end usually adopts a time domain repeated sending method to ensure that the communication system can work under low and extremely low signal-to-noise ratio. In order to obtain the information transmitted by the transmitting end as quickly and correctly as possible, the receiving end generally needs to perform multiple soft combining and decoding checks on the received time-domain repeated signal to restore the transmitted information.

In addition, the number of Cyclic Redundancy Check (CRC) bits of a Physical Broadcast Channel (PBCH) and a Physical Downlink Control Channel (PDCCH) is small, and multiple decoding Check attempts in the process result in a problem of high false detection probability, which leads to efficiency reduction, time waste and adverse effect on the system.

Disclosure of Invention

The invention solves the technical problem of how to reduce the probability of false detection.

To solve the above technical problem, an embodiment of the present invention provides a virtual inspection filtering method, including: decoding and checking the data to be processed; if the verification is passed, encoding the decoded data obtained by decoding to obtain encoded data; comparing the coded data with the data to be processed bit by bit, and counting the number of error bits; and determining whether the decoding check result of the data to be processed is false check according to the number of the error bits.

Optionally, the encoding processing method adopted when encoding the decoded data obtained by decoding is selected from: add check codes, channel coding, and rate matching.

Optionally, the encoding processing mode adopted when the decoded data obtained by decoding is encoded is the same as the encoding processing mode adopted by the sending end of the data to be processed.

Optionally, the encoding processing mode adopted when encoding the decoded data obtained by decoding is determined according to the system and/or the channel carrying the data to be processed.

Optionally, the data to be processed is soft bits stored in a soft buffer.

Optionally, comparing the encoded data with the data to be processed bit by bit, and counting the number of error bits includes: comparing the coded data with bits at the same position in the data to be processed bit by bit to judge whether bit errors exist in each bit; and counting the number of the bit with bit errors to obtain the number of the error bits.

Optionally, the determining whether the decoding check result of the data to be processed is false check according to the number of the error bits includes: if the number of the error bits is larger than a preset threshold value, determining that the detection is false detection; and if the number of the error bits is less than a preset threshold value, determining that the false detection filtering is passed.

Optionally, the preset threshold is determined according to one or more of the following: signal-to-noise ratio, load size, DCI format, and receiver state.

Optionally, the decoded data includes a check portion and a content portion, and the encoding processing performed on the decoded data includes: and encoding the content part passing the verification.

In order to solve the above technical problem, an embodiment of the present invention further provides a virtual inspection filtering apparatus, including: the decoding and checking module is used for decoding and checking the data to be processed; the encoding processing module is used for encoding the decoded data obtained by decoding to obtain encoded data if the verification is passed; the comparison statistic module is used for comparing the coded data with the data to be processed bit by bit and counting the number of error bits; and the determining module is used for determining whether the decoding check result of the data to be processed is false check according to the number of the error bits.

To solve the above technical problem, an embodiment of the present invention further provides a storage medium, on which a computer program is stored, and the computer program executes the steps of the above method when being executed by a processor.

In order to solve the above technical problem, an embodiment of the present invention further provides a receiver, including a memory and a processor, where the memory stores a computer program capable of running on the processor, and the processor executes the steps of the above method when running the computer program.

Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:

the embodiment of the invention provides a virtual inspection filtering method, which comprises the following steps: decoding and checking the data to be processed; if the verification is passed, encoding the decoded data obtained by decoding to obtain encoded data; comparing the coded data with the data to be processed bit by bit, and counting the number of error bits; and determining whether the decoding check result of the data to be processed is false check according to the number of the error bits.

Compared with the existing mode of filtering the false detection by using some fields with legal threshold value ranges in the information, the embodiment can better reduce the false detection probability. Specifically, the receiver simulates the operation of the transmitting end, encodes the decoded data of the data to be processed, which passes the decoding check, to "restore" the data to be processed, so as to obtain simulated data before decoding (i.e., encoded data), compares the simulated data before decoding with actual data before decoding (i.e., data to be processed), which is obtained by the receiver based on the received data processing, and determines whether the data is false check according to the comparison result. The false detection filtering means adopted by the embodiment is not limited by the number of fields with legal thresholds and the like, so that the probability of false detection can be reduced.

Further, the encoding processing mode adopted when the decoded data obtained by decoding is encoded is the same as the encoding processing mode adopted by the sending end of the data to be processed, so as to ensure the accuracy of restoration.

Drawings

FIG. 1 is a flow chart of a virtual inspection filtering method according to an embodiment of the present invention;

FIG. 2 is a flowchart of one embodiment of step S103 of FIG. 1;

fig. 3 is a schematic structural diagram of a virtual inspection filtering apparatus according to an embodiment of the present invention.

Detailed Description

As background, in a narrowband internet of things system, a communication system needs to operate at a low or very low signal-to-noise ratio due to the need to support extreme coverage. And the frequency domain resource of the narrow-band system is very limited, and the sending end usually adopts a time domain repeated sending method to ensure that the communication system can work under low and extremely low signal-to-noise ratio. In order to obtain the information transmitted by the transmitting end as quickly and correctly as possible, the receiving end generally needs to perform multiple soft combining and decoding checks on the received time-domain repeated signal to restore the transmitted information.

On the other hand, a Physical Broadcast Channel (PBCH) carries a Master Information Block (MIB). The most basic information of the cell, such as the hyper frame number, the scheduling information of the system information block SIB1, etc., is contained therein. Successful decoding of the PBCH is the basis for subsequent all-cell communication.

The Physical Downlink Control Channel (PDCCH) carries Downlink Control Information (DCI), such as scheduling information for a physical Downlink shared channel (PDCCH) and a physical uplink shared channel (pucch). Its successful decoding is the basis for the upstream and downstream data transmission.

At a transmitting end, a PBCH and a PDCCH are usually signaled by adding a check code, then performing channel coding, rate matching, and the like, and then performing modulation and the like. Since successful decoding of both channels is critical, they both use a lower modulation mode to enhance reliability.

However, the PBCH and the PDCCH have a small number of CRC bits, and the receiver needs to perform multiple soft combining and decoding checks on the received signal, which may result in a problem of high false detection probability.

Specifically, in a narrowband internet of things system, a sending end usually adopts a time domain repetition technology to enable the system to operate under a low signal-to-noise ratio, and at this time, a receiving end (i.e., a receiver) usually combines received signals continuously and performs decoding and checking attempts to acquire sent information as soon as possible, where the continuous decoding and checking attempts are also a cause of an excessively high false detection probability. The false detection probability increases approximately linearly with the number of attempts.

Once a false detection occurs, for example, after a PBCH false detection occurs, the System Information Block 1 (SIB 1) continues to be received with the wrong Information until it is confirmed that the SIB1 demodulation fails, which results in reduced efficiency, wasted time, and adverse effect on the System.

The existing virtual inspection filtering method usually utilizes some fields with legal threshold value range in information to carry out virtual inspection filtering, and when illegal values exist in the fields in decoded data, the fields can be judged to be virtual inspection. However, some systems have fewer fields with such characteristics, and although a certain false detection probability can be reduced, the problem of too high false detection filtering still exists.

The embodiment can better reduce the probability of false detection. Specifically, the receiver simulates the operation of the transmitting end, encodes the decoded data of the data to be processed, which passes the decoding check, to "restore" the data to be processed, so as to obtain simulated data before decoding (i.e., encoded data), compares the simulated data before decoding with actual data before decoding (i.e., data to be processed), which is obtained by the receiver based on the received data processing, and determines whether the data is false check according to the comparison result. The false detection filtering means adopted by the embodiment is not limited by the number of fields with legal thresholds and the like, so that the probability of false detection can be reduced.

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.

Fig. 1 is a flowchart of a virtual inspection filtering method according to an embodiment of the present invention. The scheme of the embodiment can be applied to the receiving scenes of PBCH signals and PDCCH signals, so that the communication efficiency of the system is improved by reducing the false detection probability.

The scheme of the embodiment can be executed by the user equipment side, such as a receiver.

Specifically, referring to fig. 1, the virtual inspection filtering method according to this embodiment may include the following steps:

step S101, decoding and checking data to be processed;

step S102, if the verification is passed, encoding the decoded data obtained by decoding to obtain encoded data;

step S103, comparing the coded data with the data to be processed bit by bit, and counting the number of error bits;

and step S104, determining whether the decoding check result of the data to be processed is false check according to the number of the error bits.

In a specific implementation, before the step S101, the method may further include the step of: and receiving the signal, and performing spatial processing, demodulation, descrambling and other processing on the received signal to obtain the data to be processed.

For example, the received signal may be a PBCH signal and may also be a PDCCH signal.

Further, the signal to be processed may be soft bits and stored in a soft buffer.

In a specific implementation, for the time-domain repetitive signal, after each time of the received data is subjected to the processing steps of spatial processing, demodulation, and the like, the received data may be soft-combined with the existing soft bits in the soft buffer, and the obtained soft bits are stored in the soft buffer again and used as the data to be processed in step S101.

That is, the data to be processed in step S101 can be understood as bits before decoding.

In one specific implementation, in step S101, the soft bits in the soft buffer may be decoded, and the decoded data obtained by decoding includes a check portion and a content portion.

Further, the content part is checked using the check part. If the verification is successful, the steps S102 to S104 are performed on the content part to determine whether the filtering is passed through the false detection.

In a specific implementation, for the case that the time domain repetitive signal does not pass the verification, whether the time domain repetitive signal is ended or not can be further judged, and if so, the subsequent operation is stopped; otherwise, continuing to receive the signal, and performing soft combination with the soft bit in the soft buffer to obtain the combined soft bit. And storing the combined soft bit into a soft buffer. And performing the step S101 on the soft bits in the soft buffer, and so on.

In one implementation, the step S102 may include: and encoding the content part passing the verification.

Specifically, the encoding processing method adopted when encoding the decoded data obtained by decoding may be selected from: add check codes, channel coding, and rate matching.

For example, in the step S102, a check code may be added to the content part passing the check and channel coding may be performed. The bits thus processed are compared with the soft bits in the soft buffer.

For another example, in the step S102, a check code may be added to the content part passing the check, and then channel coding and then rate matching are performed. The bits thus processed are compared with the soft bits in the soft buffer.

For another example, the encoding processing method may be related to whether the soft bits stored in the soft buffer are soft bits before rate de-matching or soft bits after rate de-matching.

In particular, the added check code may be a CRC.

In a specific implementation, the encoding processing method used when encoding the decoded data obtained by decoding may be the same as the encoding processing method used by the sending end of the to-be-processed data, so as to ensure the accuracy of restoration.

In a specific implementation, the encoding processing mode adopted when encoding the decoded data obtained by decoding may be determined according to a system and/or a channel carrying the data to be processed.

That is, the encoding processing may be performed according to the system in which the receiver is located and the standard of the channel to which the signal reception belongs, and different encoding processing manners may be adopted for different systems and/or different channels.

For example, if a PBCH signal in a narrowband Internet of Things (NB-IoT) system is received, the PBCH signal may be encoded according to an encoding method corresponding to the PBCH in the NB-IoT standard.

For another example, if a PDCCH signal in an NB-IoT system is received, the PDCCH signal may be encoded according to a coding method corresponding to the PDCCH in the NB-IoT system standard.

The coding processing modes corresponding to different systems or channels can be known to both the receiver and the transmitting end, and can be determined by the system and the channel where the signal is received or transmitted at this time.

It should be noted that although the present example is described by taking an NB-IoT system as an example, in practical applications, other communication systems may be applied to the present embodiment as well.

In one implementation, referring to fig. 2, the step S103 may include the following steps:

step S1031, comparing the bits at the same positions in the encoded data and the data to be processed bit by bit to judge whether bit errors exist in each bit;

step S1032, the number of bits with bit errors is counted to obtain the number of error bits.

In particular, the comparison may include, but is not limited to, a sign comparison. Further, the comparison may be a weighted comparison including reliability, or the like.

For example, for each bit in the encoded data, assuming that the bit is 0 represents positive, assuming that the bit is 1 represents negative; for each bit in the data to be processed, since the data to be processed is generally soft bits, such as 3.5, -1.2, etc., the sign of each bit can be visually determined. Correspondingly, from the first bit, whether the bit of the first bit in the encoded data and the bit of the first bit in the data to be processed are both positive or both negative is compared. If the signs are consistent (i.e., both positive or both negative), pass; otherwise, if a positive one and a negative one exist, the bit is judged to have bit error. Similarly, the signs of the bits on the same bit in the encoded data and the data to be processed are compared bit by bit, and the number of the bit with bit error is counted to obtain the number of the error bits.

In one implementation, the step S104 may include the steps of: if the number of the error bits is larger than a preset threshold value, determining that the detection is false detection; and if the number of the error bits is less than a preset threshold value, determining that the false detection filtering is passed.

Specifically, the preset threshold may be determined according to one or more of the following: signal-to-noise ratio, load size (payload size), Downlink Control Information (DCI) format, and receiver status. The state of the receiver may include an idle state and a connected state.

Wherein greater than may include greater than or equal to. Alternatively, less than may include less than or equal to.

For example, the preset threshold may be set lower when the signal-to-noise ratio is higher. And when the signal-to-noise ratio is low, the preset threshold may be set high.

In one embodiment, if it is determined that the false detection filtering is passed, the content part passing the verification at this time may be used as the MIB. Further, after the MIB information is obtained, if the MIB decoding is successful, the soft buffer is cleared.

Therefore, the embodiment can better reduce the false detection probability. Specifically, the receiver simulates the operation of the transmitting end, encodes the decoded data of which the data to be processed passes the verification to obtain simulated data before decoding (i.e., encoded data) by "restoring", compares the simulated data before decoding with actual data before decoding (i.e., data to be processed) obtained by the receiver based on the received data processing, and determines whether the data is false detection according to the comparison result. The false detection filtering means adopted by the embodiment is not limited by the number of fields with legal thresholds and the like, so that the probability of false detection can be reduced.

The scheme of the embodiment can be used in combination with the existing virtual inspection filtering technology, the virtual inspection probability can be further reduced on the basis of the prior art, and the system performance is improved.

Fig. 3 is a schematic structural diagram of a virtual inspection filtering apparatus according to an embodiment of the present invention. Those skilled in the art will understand that the virtual inspection filtering apparatus 3 of the present embodiment can be used to implement the method solutions described in the embodiments of fig. 1 and fig. 2.

Specifically, referring to fig. 3, the virtual inspection filtering apparatus 3 of the present embodiment may include: the decoding and checking module 31 is configured to perform decoding processing and checking on the data to be processed; the encoding processing module 32 is configured to, if the check is passed, perform encoding processing on the decoded data obtained by decoding to obtain encoded data; a comparison statistic module 33, configured to compare the encoded data with the to-be-processed data bit by bit, and count the number of error bits; a determining module 34, configured to determine whether a decoding check result of the to-be-processed data is false check according to the number of the error bits.

For more details of the operation principle and the operation mode of the virtual inspection filtering apparatus 3, reference may be made to the description in fig. 1 and fig. 2, and details are not repeated here.

Further, the embodiment of the present invention also discloses a storage medium, on which a computer program is stored, and when the computer program runs, the method technical solution described in the embodiments shown in fig. 1 and fig. 2 is executed. Preferably, the storage medium may include a computer-readable storage medium such as a non-volatile (non-volatile) memory or a non-transitory (non-transient) memory. The storage medium may include ROM, RAM, magnetic or optical disks, etc.

Further, an embodiment of the present invention further discloses a receiver, which includes a memory and a processor, where the memory stores a computer program capable of running on the processor, and the processor executes the technical solution of the method in the embodiment shown in fig. 1 and fig. 2 when running the computer program.

Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A false detection filtering method is characterized by comprising the following steps:

decoding and checking the data to be processed;

if the verification is passed, encoding the decoded data obtained by decoding to obtain encoded data;

comparing the coded data with the data to be processed bit by bit, and counting the number of error bits;

and determining whether the decoding check result of the data to be processed is false check according to the number of the error bits.

2. The false detection filtering method according to claim 1, wherein the encoding processing method adopted when encoding the decoded data obtained by decoding is selected from: add check codes, channel coding, and rate matching.

3. The false detection filtering method according to claim 1, wherein the encoding processing mode adopted when encoding the decoded data obtained by decoding is the same as the encoding processing mode adopted by the sending end of the data to be processed.

4. The false detection filtering method according to claim 1, wherein the encoding processing mode adopted when encoding the decoded data obtained by decoding is determined according to a system and/or a channel carrying the data to be processed.

5. The false detection filtering method of claim 1, wherein said data to be processed is soft bits stored in a soft buffer.

6. The false detection filtering method of claim 1, wherein comparing the encoded data with the data to be processed bit by bit, and counting the number of error bits comprises:

comparing the coded data with bits at the same position in the data to be processed bit by bit to judge whether bit errors exist in each bit;

and counting the number of the bit with bit errors to obtain the number of the error bits.

7. The false detection filtering method according to claim 1, wherein the determining whether the decoding check result of the data to be processed is false detection according to the number of error bits comprises:

if the number of the error bits is larger than a preset threshold value, determining that the detection is false detection;

and if the number of the error bits is less than a preset threshold value, determining that the false detection filtering is passed.

8. The false detection filtering method according to claim 7, wherein the preset threshold is determined according to one or more of the following: signal-to-noise ratio, load size, DCI format, and receiver state.

9. The false detection filtering method according to claim 1, wherein the decoded data includes a check portion and a content portion, and the encoding processing of the decoded data includes: and encoding the content part passing the verification.

10. A false detection filter device, comprising:

the decoding and checking module is used for decoding and checking the data to be processed;

the encoding processing module is used for encoding the decoded data obtained by decoding to obtain encoded data if the verification is passed;

the comparison statistic module is used for comparing the coded data with the data to be processed bit by bit and counting the number of error bits;

and the determining module is used for determining whether the decoding check result of the data to be processed is false check according to the number of the error bits.

11. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, performing the steps of the method according to any one of claims 1 to 9.

12. A receiver comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, wherein the processor, when executing the computer program, performs the steps of the method of any of claims 1 to 9.