CN107493147B - Polarization similarity cognitive signal learning method for full-duplex authorized user - Google Patents

Polarization similarity cognitive signal learning method for full-duplex authorized user Download PDF

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CN107493147B
CN107493147B CN201710637511.8A CN201710637511A CN107493147B CN 107493147 B CN107493147 B CN 107493147B CN 201710637511 A CN201710637511 A CN 201710637511A CN 107493147 B CN107493147 B CN 107493147B
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authorized user
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CN107493147A (en
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厉东明
张登银
郭林
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Nanjing University of Posts and Telecommunications
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/14—Two-way operation using the same type of signal, i.e. duplex

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Abstract

The invention discloses a full-duplex authorized user-oriented polarization similarity cognitive signal learning method, which is based on the polarization characteristics of signals, calculates the difference of sampling signals of authorized users by taking the polarization similarity as measurement, and distinguishes the signals from each authorized user; the polarization state sent by the cognitive user is designed to be a zero space vector of the processed sampling signal, so that the authorized user is protected. The method overcomes the defect that the traditional authorized user signal detection and analysis method cannot accurately extract the signal space of each authorized user, can accurately extract the single authorized user signal in the mixed sampling signal, further designs the cognitive transmission polarization, realizes the simultaneous same-frequency communication of the authorized user and the cognitive user, and improves the spectrum efficiency.

Description

Polarization similarity cognitive signal learning method for full-duplex authorized user
Technical Field
The invention relates to a polarization similarity cognitive signal learning method for full-duplex authorized users, and belongs to the technical field of cognitive radio communication.
Background
In a cognitive radio network, an existing authorized signal detection and analysis method is mainly designed for authorized users of time division duplex and frequency division duplex. These detection and analysis methods may obtain the characteristics of each authorized user signal in the time domain, the frequency domain, and the spatial domain by sampling the authorized signals. Based on the characteristics, the cognitive user can communicate in the orthogonal space of the authorized user signal, so that interference on the authorized user is avoided, and the purpose of frequency reuse is achieved. However, the existing methods are only applicable to authorized users of time division duplex and frequency division duplex. With the background of widespread research on 5G communications, future authorized users are likely to employ full duplex technology. At a particular time and frequency, the signal sampled by the cognitive user is a mixed signal from a plurality of authorized users. Therefore, designing cognitive communications using traditional detection and analysis methods can cause strong interference to authorized users.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method can accurately extract the signal from each authorized user from the mixed signal, so that further cognitive communication is free from interference to the authorized users.
The invention adopts the following technical scheme for solving the technical problems:
a full-duplex authorized user oriented polarization similarity cognitive signal learning method comprises the following steps:
step 1, a cognitive user samples authorization signals of a full-duplex authorization user and records each authorization signal and corresponding sampling time;
step 2, for the authorization signals corresponding to any two sampling moments, calculating the polarization similarity of the two authorization signals, judging whether the polarization similarity is greater than a preset threshold value, and when the polarization similarity is greater than the preset threshold value for the first time, putting the sampling moments of the two authorization signals corresponding to the polarization similarity into a set S1Performing the following steps;
step 3, continuing the calculation, and when two authorization signals with polarization similarity larger than the preset threshold value appear for the second time, judging whether sampling moments corresponding to the two authorization signals have one sampling moment in the set S1If so, put another sample time into the set S1Otherwise, putting the sampling time corresponding to the two authorization signals into the set S2Performing the following steps;
step 4, continuing the above calculation when the nth (n) th>2) Judging whether sampling time corresponding to the two authorization signals has one sampling time in the set S or not when the two authorization signals with polarization similarity larger than the preset threshold value appear1Or S2If there is one sampling time in the set S1Put another sampling instant into set S1If there is one sampling time in the set S2Put another sampling instant into set S2Until the calculation is finished;
step 5, collecting the set S1The authorization signal corresponding to the middle sampling moment is regarded as originating from a full-duplex authorized user, and the set S is2And the authorization signal corresponding to the middle sampling moment is regarded as originating from another full-duplex authorized user, so that respective authorization signals of both authorized communication parties are respectively obtained.
As a preferred scheme of the present invention, the signal obtained by sampling the authorization signal of the full-duplex authorized user by the cognitive user in step 1 is represented as:
Figure BDA0001365178460000021
wherein Y (n), S1(n)、S2(n) and σ (n) are the signal sampled at sampling instant n, the desired signal from authorized user 1, the desired signal from authorized user 2, and additive gaussian noise, respectively.
As a preferred scheme of the present invention, the sending polarization state of the cognitive user is a vector within a null space of the authorization signals of the two full-duplex authorized users.
As a preferred aspect of the present invention, the sending polarization state of the cognitive user is:
Figure BDA0001365178460000022
wherein, PtRepresents the transmit polarization state of the cognitive user,
Figure BDA0001365178460000023
representation matrix
Figure BDA0001365178460000024
The ith column of the left singular vector,
Figure BDA0001365178460000025
is composed of
Figure BDA0001365178460000026
N is the total number of sampling instants.
As a preferred scheme of the present invention, the cognitive user in step 1 samples an authorization signal of a full-duplex authorized user, and the sampling time is one sampling period or multiple sampling periods.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
1. the invention can extract the signal space of each authorized user in the full-duplex mixed signal based on the polarization characteristic of the signal and taking the polarization similarity as a decision variable, and further designs the polarization state sent by the cognitive user in the orthogonal space of the signal space of the authorized user, thereby protecting the authorized user.
2. The invention solves the problem that the prior technical scheme can only be applied to the communication scene of the non-full-duplex authorized user and is not suitable for the scene of the full-duplex authorized user.
3. The invention overcomes the defects of the prior art, can accurately extract the single authorized user signal in the mixed sampling signal, further designs the cognitive transmission polarization, realizes the simultaneous same-frequency communication of the authorized user and the cognitive user and improves the spectrum efficiency.
Drawings
Fig. 1 is a coexistence scenario of a cognitive user and a full-duplex authorized user according to the present invention.
Fig. 2 is a schematic diagram of a cognitive user sampling authorization signal according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The invention relates to a polarization similarity cognitive signal learning method for full-duplex authorized users, which comprises the following specific processes: firstly, a cognitive user carries out denoising processing on a sampled authorization signal, and then polarization similarity is calculated for any two authorization signals Y (n) and Y (m). Secondly, for two polarizations with similarity higher than a certain thresholdAn authorized sample is taken, and the time sequence numbers n and m are put into a set S1In (1). For the authorized sampling signal with the subsequent polarization similarity higher than the threshold, checking whether the time sequence number is in S1Performing the following steps; if at S1If so, the time sequence number of the authorization signal is put into S1Otherwise put into another set S2In (1). According to this rule, every time an authorized sample signal is calculated whose polarization similarity is above a certain threshold, it is checked that its time sequence number belongs to S1Or S2And then put it into S1Or S2In (1). Again, for set S1And S2The time sequence numbers in (1) can be regarded as sampling signals respectively originated from two authorized users. Thereby respectively obtaining the sampling signals of the authorized communication parties. Based on the signals, the sending polarization state of the cognitive user can be designed into a vector in a null space of two authorized user sampling signals. Since the vector is orthogonal to the transmission spaces of the two authorized users, the cognitive user communication does not cause interference to the authorized users. Thereby realizing the multiplexing of the authorized spectrum.
In the coexistence scenario of the cognitive user and the full-duplex authorized user as shown in fig. 1, the cognitive user employs an orthogonal dual-polarized antenna, the authorized user employs a single-polarized antenna, and the authorized user employs a full-duplex communication technology. P shown in FIG. 11、P2、PtAnd PrThe polarization states adopted by authorized users and cognitive users, respectively. The channel between the authorized user and the cognitive user is denoted by H.
In order to communicate using the licensed spectrum without causing interference to the licensed user, the cognitive user performs sampling learning on the signal of the licensed user before communication. The above process is shown in fig. 2.
In the sampling result shown in fig. 2, there are four cases, which can be expressed as:
Figure BDA0001365178460000041
wherein Y (n), S1(n)、S2(n) and σ (n) are respectively the nth sampleA sampled signal at a time, a useful signal from authorized user 1, a useful signal from authorized user 2, and additive gaussian noise.
The above equation corresponds to four cases where only authorized user 1 exists, only authorized user 2 exists, both authorized users exist, and no authorized user exists. Carrying out noise reduction processing on sampling signals Y (N) (1, 2, …, N) and calculating polarization similarity, and then picking out authorized sampling signals with larger polarization similarity values to form a new sampling signal vector, which is expressed as:
Figure BDA0001365178460000042
wherein λ is1And λ2Representing the proportion of the idle time of the authorized user 1 and the authorized user 2 to the total number of sampling time N; constant number
Figure BDA0001365178460000043
And
Figure BDA0001365178460000044
Figure BDA0001365178460000045
and
Figure BDA0001365178460000046
respectively, the sampled signals from authorized user 1 and authorized user 2; n is a radical of1And N2The set of free time instants from authorized user 1 and authorized user 2, respectively. Based on the authorized sampling signal, the cognitive transmission polarization state is calculated as follows:
Figure BDA0001365178460000051
wherein the content of the first and second substances,
Figure BDA0001365178460000052
representation matrix
Figure BDA0001365178460000053
The ith column of the left singular vector,
Figure BDA0001365178460000054
is composed of
Figure BDA0001365178460000055
Is determined. Using polarization state PtAnd data is sent, and the cognitive user cannot cause interference to the authorized user.
The method takes the polarization similarity as measurement to calculate the difference of the sampling signals of authorized users, and distinguishes the signals from each authorized user; and designing the transmission polarization state of the cognitive user as a zero space vector of the processed sampling signal.
The above embodiments are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modifications made on the basis of the technical scheme according to the technical idea of the present invention fall within the protection scope of the present invention.

Claims (5)

1. A full-duplex authorized user-oriented polarization similarity cognitive signal learning method is characterized by comprising the following steps:
step 1, a cognitive user samples authorization signals of a full-duplex authorization user and records each authorization signal and corresponding sampling time;
step 2, for the authorization signals corresponding to any two sampling moments, calculating the polarization similarity of the two authorization signals, judging whether the polarization similarity is greater than a preset threshold value, and when the polarization similarity is greater than the preset threshold value for the first time, putting the sampling moments of the two authorization signals corresponding to the polarization similarity into a set S1Performing the following steps;
step 3, continuing the calculation, and when two authorization signals with polarization similarity larger than the preset threshold value appear for the second time, judging whether sampling moments corresponding to the two authorization signals have one sampling moment in the set S1If so, put another sample time into the set S1Otherwise, putting the sampling time corresponding to the two authorization signals into the set S2Performing the following steps;
step 4, continuing the above calculation when the nth (n) th>2) Judging whether sampling time corresponding to the two authorization signals has one sampling time in the set S or not when the two authorization signals with polarization similarity larger than the preset threshold value appear1Or S2If there is one sampling time in the set S1Put another sampling instant into set S1If there is one sampling time in the set S2Put another sampling instant into set S2Until the calculation is finished;
step 5, collecting the set S1The authorization signal corresponding to the middle sampling moment is regarded as originating from a full-duplex authorized user, and the set S is2And the authorization signal corresponding to the middle sampling moment is regarded as originating from another full-duplex authorized user, so that respective authorization signals of both authorized communication parties are respectively obtained.
2. The method for learning polarization similarity cognitive signals facing a full-duplex authorized user according to claim 1, wherein the signals obtained by the cognitive user sampling the authorized signals of the full-duplex authorized user in step 1 are represented as:
Figure FDA0001365178450000011
wherein Y (n), S1(n)、S2(n) and σ (n) are the signal sampled at sampling instant n, the desired signal from authorized user 1, the desired signal from authorized user 2, and additive gaussian noise, respectively.
3. The full-duplex authorized user-oriented polarization similarity cognitive signal learning method according to claim 1, wherein the transmission polarization state of the cognitive user is a vector within a null space of two full-duplex authorized user authorization signals.
4. The full-duplex authorized user-oriented polarization similarity cognitive signal learning method according to claim 1, wherein the transmission polarization state of the cognitive user is as follows:
Figure FDA0001365178450000021
wherein, PtRepresents the transmit polarization state of the cognitive user,
Figure FDA0001365178450000022
representation matrix
Figure FDA0001365178450000023
The ith column of the left singular vector,
Figure FDA0001365178450000024
is composed of
Figure FDA0001365178450000025
N is the total number of sampling instants.
5. The method for learning polarization similarity cognitive signals facing full-duplex authorized users according to claim 1, wherein the cognitive user samples the authorized signals of the full-duplex authorized users in step 1, and the sampling time is one sampling period or a plurality of sampling periods.
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CN109067486A (en) * 2018-09-27 2018-12-21 南京邮电大学 A kind of full duplex authorization user signal extracting method based on polarization distance
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