CN117336125B - Decision feedback channel estimation method and device in differential OTFS system - Google Patents
Decision feedback channel estimation method and device in differential OTFS system Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention provides a method and a device for estimating a decision feedback channel in a differential OTFS system, comprising the following steps of: mapping digital modulation signals to DT domainIs thatDifferential modulation is carried out to obtain a differential DT domain signalAnd switch to DD domainFor DD domain signalsPerforming OTFS modulation and then transmitting; the receiving end carries out OTFS demodulation to obtain a receiving signal, and the receiving signal carries out OTFS demodulation to the receiving signal to obtain a DD domain receiving signalAnd transition to DT domain asThen differential demodulation is carried out to obtainThe method comprises the steps of carrying out a first treatment on the surface of the Will beRemodulation and conversion to the time-frequency domainRegarding as guidance, performing LS-based channel estimation to obtain initial channel estimationThe method comprises the steps of carrying out a first treatment on the surface of the Will beConversion to a feature-evident DD domainRegarding as initial characteristics, with the assistance of the initial characteristics, constructing a characteristic resolution enhancement network to estimate CSI:. The invention uses differential modulation and neural network without causingAnd under the condition of second order statistics, the NMSE performance of the system is improved.
Description
Technical Field
The invention relates to the technical field of channel estimation in wireless communication, in particular to a method and a device for estimating a decision feedback channel in a differential OTFS system.
Background
In recent years, with the popularization of high-speed mobile communication scenes such as high-speed railway communication, unmanned aerial vehicle communication, and low earth orbit satellite, widely used OFDM-based communication systems face a great challenge. The high doppler shift caused by the high speed severely destroys the carrier orthogonality of each subcarrier in the OFDM system, resulting in severe degradation of the channel estimation. To combat doppler shift, OTFS modulation techniques are proposed that modulate data in the delay-doppler (DD) domain and have excellent performance in highly mobile communication scenarios.
For channel estimation of OTFS systems, the embedded pilot channel estimation method is a common method. The channel coefficients, delay, and doppler are estimated using guard intervals and embedded steering. In recent years, with the development of neural network technology, deep neural networks have been applied to aspects of a wireless communication physical layer. Neural networks exhibit excellent performance in terms of channel estimation.
Although the above-mentioned channel estimation method of the OTFS system can better estimate the channel parameters, improvements in terms of spectrum efficiency of the system and energy consumption reduction of the UE are still needed. On the one hand, existing guard interval based channel estimation must allocate additional spectrum resources to transmit steering, reducing the spectrum efficiency for OTFS system data transmission. In particular, the superposition pilot channel estimation method increases the spectral efficiency of the OTFS system and reduces the energy consumption of its UEs, but the interference introduced by superposition pilot reduces the performance of channel estimation and signal detection, requiring iterative processing with high computational complexity.
Disclosure of Invention
The invention aims to provide a decision feedback channel estimation method and a device in a differential OTFS system, which are different from the traditional channel estimation method and OTFS superposition pilot channel estimation. Compared with a common OTFS system for modulating data in a DD (Delay-Doppler) domain, the invention develops DT domain characteristics and constructs a differential OTFS system based on the DT domain.
The specific technical scheme is as follows:
a decision feedback channel estimation device in a differential OTFS system, comprising:
UE transmitting end device, comprising:
digital modulation module for obtaining modulated signal；
A differential modulation module for obtaining DT domain signals；
OTFS modulation module for obtainingTime domain signal；
The differential modulation module is connected with the digital modulation signal acquisition module; the OTFS modulation module is connected behind the differential modulation module;
a BS receiver apparatus comprising:
OTFS demodulation module for obtaining DD domain signal；
A differential demodulation module for obtaining DT domain signals；
A channel estimation module for obtaining initial channel characteristics；
A channel enhancement module for obtaining enhanced channel state information。
The method for estimating the decision feedback channel in the differential OTFS system adopts the decision feedback channel estimation device in the differential OTFS system, and the specific method comprises the following steps:
UE transmitting end device processes:
s1, matrix digital modulation signalsMapping to DT domain to form DT domain signal matrix +.>；
The digital modulation is to digitally modulate the bit stream information;
s2, for DT domain signal matrixPerforming DT domain differential modulation into signal matrix>Then performing discrete Fourier transform to form DD domain signal matrix +.>；
The differential modulation is to a matrix of digitally modulated DT domain signalsDifferential modulation, i.e. according to rulesPerforming column-by-column modulation to obtain a signal matrix +.>；
Wherein,，/>respectively represent the signal matrix after differential modulation +.>And a signal matrix before differential modulationFirst->Line->A column;
in the differential modulation process, according to engineering experience, take
S3, DD domain signal matrixPerforming OTFS modulation and transformation to a time domain transmission signal;
the OTFS modulation is the baseband modulation of the OTFS system, and DD domain signalsModulated into a time domain signal after being subjected to inverse octyl Fourier transform (inverse symplectic finite fourier transform, ISFFT) and Hessenberg transform>；
BS receiving end device processes:
s4, the receiving end carries out OTFS demodulation to obtain DD domain receiving signal matrixAnd converts it into a DT domain signal matrix +.>Then differential demodulation is carried out to obtain a differential demodulation signal matrix +.>；
The OTFS demodulates the time domain received signalDemodulating into DD signal after being subjected to octyl Fourier transform (symplectic finite fourier transform, SFFT) and wiener transform>；
S5, differential demodulation signal matrixPerforming modulation and time-frequency domain transformation to form a time-frequency domain matrixAnd will->Channel estimation is conducted by regarding as guidance, and an initial channel estimation matrix is obtained>；
The column-wise Fu Chafen demodulation is obtained by the following rule demodulation:
wherein,representing digital modulation constellation set->Temporary value of (a); upper energizer->Representing a conjugate operation, ++>Representing the real part->Representing a maximum value taking operation;
the initial channel estimation matrixIs to receive signal +>Conversion to the time-frequency domain->And time-frequency domain guidance, which is obtained by estimating by using a traditional channel estimation method;
the traditional channel estimation method comprises LS channel estimation, MMSE channel estimation and compressed sensing channel estimation;
the received signalIs according to->And converting to a time-frequency domain to obtain.
S6, using ISFFT transformationTransforming to DD domain to form initial feature matrix +.>And constructing a characteristic resolution enhancement network (feature resolution enhancement network, FRen-CENet) for channel estimation enhancement to obtain enhanced channel estimation +.>。
The feature resolution enhancement network FRen-CENet comprises
Constructing a resolution enhancement layer, and carrying out resolution enhancement on delay and Doppler directions by adopting a convolution kernel;
constructing a channel estimation enhancement layer, constructing a dense layer, and fitting CE impulse on a DD domain;
building training data setsTraining FRen-CENet to obtain network parameters of FRen-CENet；
The training setIs +.>Performing real value obtaining, namely:
wherein,，/>respectively representing the operation of taking a real part and an imaginary part;
the labelReal value obtaining is carried out according to the actually measured complex value CSI data;
during online operation, initial channel estimationInputting a channel estimation enhancement network FRen-CENet to obtain channel state information with enhanced accuracy +.>；
The network is a double hidden layer network, compared with the traditional DNN and CNN networks, the resolution enhancement is carried out by using a convolution layer in the first layer, and the impulse fitting is carried out by using a full link layer in the second layer, namely:
then dividing the real part and the imaginary part to obtain。
The invention develops the differential characteristic of the delay time Domain (DT) of the OTFS system to assist the channel estimation and the signal detection of the OTFS system. Firstly, at a UE end, converting a modulation signal of an OTFS system into a DT domain for differential modulation; the method saves the frequency spectrum resource occupation of the OTFS system by not transmitting the guidance for channel estimation at the UE end and reduces the energy consumption of the UE transmitter during air interface transmission. At a Base Station (BS) end of the OTFS system, differential demodulation is first performed on a received signal, and modulated data is recovered; and the differentially demodulated data information is regarded as a pilot for channel estimation to obtain initial characteristics of the channel state information (CSI, channel state information). On the basis, the invention constructs a feature resolution enhancement network (feature resolution enhancement network, FRen-CENet) to enhance the initial feature resolution, thereby capturing channel features, inhibiting nonlinear superposition interference and improving the performance of channel estimation and signal detection. Compared with the channel estimation of the OTFS system in the traditional method, the method can effectively improve the accuracy of the channel estimation on the basis of improving the spectrum utilization rate of the system and reducing the energy consumption of the UE.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a flow diagram of a sender-side of the present invention;
fig. 3 is a flow diagram of a receiver-side of the present invention.
Detailed Description
The present invention will be described in detail with reference to the following examples and drawings, but it should be understood that the examples and drawings are only for illustrative purposes and are not intended to limit the scope of the present invention in any way. All reasonable variations and combinations that are included within the scope of the inventive concept fall within the scope of the present invention.
Referring to fig. 1, the method for estimating the decision feedback channel in the specific differential OTFS system includes:
a1 Referring to fig. 2, digitally modulated and mapped signal vectorsDifferential modulation is carried out, first of all differential modulation into a signal +.>Conversion to DD domain signal by DFT>And do->Performing OTFS modulation and then transmitting;
among them, more specifically some embodiments are as follows:
the digital modulation is to digitally modulate and map bit stream information to form modulated signals；
The differential modulation is to the modulated signalAccording to rule->Performing column differential modulation to obtain differential coded signal +.>，/>。
a2 Referring to fig. 3, the receiving end performs OTFS demodulation to obtain a received signalThen receives the signalDifferential demodulation is performed, including>Transition to DT Domain +.>Then differential demodulation is performed to +.>；
The differential demodulation is realized by solvingObtaining;
wherein,representing digital modulation constellation set->Temporary value of (a); upper energizer->Representing a conjugate operation, ++>Representing the real part->Indicating a maximum value taking operation.
a3 To differentially demodulate signalsRegarding as guidance, performing channel estimation to obtain TF domain initial channel state informationThen it is converted to DD domain +.>；
The guiding is toDifferential encoding to +.>；
The channel estimation is based on the received signalAnd time-frequency domain steering->Obtaining initial channel state information +.>And switch to the DD domain with distinct features>；
a4 Construction of a feature resolution enhancement network (feature resolution enhancement network, FRen-CENet) enhancementObtaining channel state information with enhanced precision>；
The channel estimation enhancement network fret-CENet further includes:
building training data setsTraining a channel estimation enhancement network FREN-CENet to obtain network parameters of the channel estimation enhancement network FREN-CENet;
the training setIs +.>Performing real value obtaining, namely:
wherein (1)>，/>Respectively representing the operation of taking a real part and an imaginary part;
the labelReal value obtaining is carried out according to the actually measured complex value CSI data;
during online operation, initial channel estimationInputting a channel estimation enhancement network FRen-CENet to obtain channel state information with enhanced accuracy +.>。
A decision feedback channel estimation device in a differential OTFS system, comprising:
the UE transmitting end device comprises:
a digital modulation module for obtaining modulated signals according to the design of S1；
A differential modulation module for designing the DT domain signal in S2；
An OTFS modulation module for obtaining time domain signals by the design described in S3；
The differential modulation module is connected with the digital modulation signal acquisition module;
the OTFS modulation module is connected behind the differential modulation module;
the BS receiving-end device includes:
an OTFS demodulation module for obtaining DD domain signals according to the design of S4；
A differential demodulation module for designing the DT domain signal described in S4；
A channel estimation module for obtaining initial channel characteristics by the design described in S5；
Channel enhancement module for the design described in S6Enhanced channel state information。
Claims (5)
1. The method for estimating the decision feedback channel in the differential OTFS is characterized by comprising the following steps:
UE transmitting end device processes:
s1, matrix digital modulation signalsMapping to DT domain to form DT domain signal matrix +.>；
The digital modulation is to digitally modulate the bit stream information;
s2, for DT domain signal matrixPerforming DT domain differential modulation into signal matrix>Then performing discrete Fourier transform to form DD domain signal matrix +.>；
S3, DD domain signal matrixPerforming OTFS modulation and transformation to a time domain transmission signal;
the OTFS modulation is the baseband modulation of the OTFS system, and DD domain signalsModulated into a time domain signal after being subjected to inverse octyl Fourier transform (ISFFT) and Hessenberg transform>；
BS receiving end device processes:
s4, the receiving end carries out OTFS demodulation to obtain DD domain receiving signal matrixAnd converts it into a DT domain signal matrix +.>Then differential demodulation is carried out to obtain a differential demodulation signal matrix +.>；
The OTFS demodulates the time domain received signalDemodulated into DD signal after being subjected to the octyl Fourier transform SFFT and the Wiggner transform>；
S5, differential demodulation signal matrixPerforming modulation and time-frequency domain transformation to form a time-frequency domain matrix +.>And will->Channel estimation is conducted by regarding as guidance, and an initial channel estimation matrix is obtained>；
The initial channel estimation matrixIs to be connected withReceive signal->Conversion to the time-frequency domain->And time-frequency domain guidance, which is obtained by estimating by using a traditional channel estimation method;
the traditional channel estimation method comprises LS channel estimation, MMSE channel estimation and compressed sensing channel estimation;
the received signalIs according to->Converting to a time-frequency domain to obtain;
s6, using ISFFT transformationTransforming to DD domain to form initial feature matrix +.>And constructing a feature resolution enhancement network FRen-CENet to enhance the channel estimation, thus obtaining enhanced channel estimation +.>。
2. The method for estimating a decision feedback channel in a differential OTFS system according to claim 1, wherein the DT domain differential modulation in step S2 includes;
matrix of digitally modulated DT domain signalsDifferential modulation is according to rule->Performing column-by-column modulation to obtain a signal matrix +.>；
Wherein,，/>respectively represent the signal matrix after differential modulation +.>And signal matrix before differential modulation->First, theLine->A column;
in the differential modulation process, according to engineering experience, take。
3. The method for estimating the decision feedback channel in the differential OTFS system according to claim 1, wherein the differential demodulation in step S5 includes:
column-wise Fu Chafen demodulation is obtained by the following rule demodulation:wherein->Representing digital modulation constellation set->Temporary value of (a); upper energizer->Representing a conjugate operation, ++>Representing the real part->Indicating a maximum value taking operation.
4. The method for estimating the decision feedback channel in the differential OTFS system according to claim 1, wherein the feature resolution enhancement network FREn-CENet in step S6 includes:
constructing a resolution enhancement layer, and carrying out resolution enhancement on delay and Doppler directions by adopting a convolution kernel;
constructing a channel estimation enhancement layer, constructing a dense layer, and fitting CE impulse on a DD domain;
building training data setsTraining FRen-CENet to obtain network parameter +.>；
Training setIs +.>Performing real value obtaining, namely: />Wherein->，/>Respectively representing the operation of taking a real part and an imaginary part;
label (Label)Real value obtaining is carried out according to the actually measured complex value CSI data;
during online operation, initial channel estimationInputting a channel estimation enhancement network FRen-CENet to obtain channel state information with enhanced accuracy +.>；
The network is a double hidden layer network:dividing the real part into real parts to obtain +.>。
5. Decision feedback channel estimation means in a differential OTFS system, characterized by being adapted for the method of claim 1; the device comprises:
UE transmitting end device, comprising:
digital modulation module for obtaining modulated signal；
A differential modulation module for obtaining DT domain signals；
OTFS modulation module for obtaining time domain signal；
The differential modulation module is connected with the digital modulation signal acquisition module; the OTFS modulation module is connected behind the differential modulation module;
a BS receiver apparatus comprising:
OTFS demodulation module for obtaining DD domain signal；
A differential demodulation module for obtaining DT domain signals；
A channel estimation module for obtaining initial channel characteristics；
A channel enhancement module for obtaining enhanced channel state information。
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| WO2017201467A1 (en) * | 2016-05-20 | 2017-11-23 | Cohere Technologies | Iterative channel estimation and equalization with superimposed reference signals |
| EP3761583B1 (en) * | 2019-07-04 | 2022-09-07 | Volkswagen Aktiengesellschaft | Adaptive transmitter symbol arrangement for otfs channel estimation in the delay-doppler domain |
| EP3826254B1 (en) * | 2019-11-19 | 2022-06-15 | Volkswagen AG | Differential power analysis for otfs pilot interference detection |
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| CN113890809A (en) * | 2021-10-29 | 2022-01-04 | 中国电子科技集团公司第五十四研究所 | Modulation-demodulation method, object end node, receiver and communication system |
| CN115189742A (en) * | 2022-07-08 | 2022-10-14 | 西华大学 | Differential coding assisted machine learning channel state information feedback method and device |
| CN115250217B (en) * | 2022-07-22 | 2023-05-19 | 西华大学 | OFDM system channel estimation method and device assisted by differential coding and neural network |
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