An enhanced extended hybrid carrier transmission method based on residual interference minimization

Abstract

An enhanced extended hybrid carrier transmission method based on residual interference minimization belongs to the field of wireless communication technology. The present invention solves the problem of poor error code performance of existing hybrid carrier communication methods under fading channels. The present invention realizes power layered multiplexing transmission of symbols and minimization of residual interference through signal design. Under fading channels, the method of the present invention gives full play to the energy expansion advantage of the hybrid carrier system and shows good residual interference suppression capability. Due to the minimization of residual interference, the probability of misjudgment due to high-power interference is further reduced, thereby improving the error code performance and effectively ensuring the reliability of wireless communication. The method of the present invention can be applied to the field of wireless communication technology.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless communications, and in particular relates to an enhanced extended hybrid carrier transmission method based on residual interference minimization. Background Art

[0002] In the field of wireless communications, hybrid carrier systems based on the concept of carrier fusion have garnered extensive attention and research. Compared to traditional systems, hybrid carrier systems offer stronger time-frequency expansion capabilities, resulting in improved fading resistance in dual-selective channels. Researchers have proposed a series of improvements to address the performance shortcomings of hybrid carrier systems. However, existing hybrid carrier schemes fail to minimize residual channel interference, limiting their further performance improvement. Therefore, there is still room for improvement in the anti-interference and anti-fading performance of existing hybrid carrier communication methods. Optimizing their energy allocation schemes to better ensure system reliability has become a worthy research direction.

[0003] To sum up, since the anti-interference and anti-fading performance of the existing hybrid carrier communication method still has room for improvement, the error performance of the existing hybrid carrier communication method under the fading channel is still poor. It is very necessary to propose a new hybrid carrier communication method to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to solve the problem of poor error performance of existing hybrid carrier communication methods under fading channels, and to propose an enhanced extended hybrid carrier transmission method based on residual interference minimization.

[0005] The technical solution adopted by the present invention to solve the above technical problems is:

[0006] An enhanced extended hybrid carrier transmission method based on residual interference minimization, the method specifically comprising the following steps:

[0007] On the sending side

[0008] Step 1: Perform baseband constellation mapping on a frame of data generated by the signal source to obtain a baseband constellation mapped signal x = [x0, x1, ..., x L-1 ] T ; where x0 is the first element in the signal x, x1 is the second element in the signal x, and x L-1 is the Lth element in signal x, the superscript T stands for transpose, and L is the length of signal x;

[0009] Step 2: Perform enhanced extended hybrid carrier modulation on the baseband constellation mapped signal x to obtain an output signal s after extended hybrid carrier modulation:

[0010] s=Εx

[0011] Wherein, E represents the enhanced extended hybrid carrier modulation matrix;

[0012]

[0013] Among them, [Ε] m,n represents the element in the mth row and nth column of the matrix E, where m = 0, 1, ..., L-1, n = 0, 1, ..., L-1, j is the imaginary unit, exp(·) represents the exponential function with the natural constant e as the base, θ m ∈(0,2π],

[0014] p represents the transmitter power constraint, σ 2 is the noise variance, the intermediate variable Λ b represents the bth eigenvalue of the channel, |·| represents the absolute value, and the intermediate variable Λ m Represents the mth eigenvalue of the channel, the intermediate variable q t,n is the element in the tth row and nth column of the matrix Q, where Q is a unitary matrix consisting of the channel eigenvectors;

[0015] Step 3: Add a cyclic prefix to the output signal s, perform digital / analog conversion and up-conversion on the result after adding the cyclic prefix, and transmit the up-converted signal to the channel;

[0016] On the receiving end

[0017] Step 4: The receiver performs down-conversion, analog-to-digital conversion, and cyclic prefix removal on the signal received from the channel, and records the processing result as data r′;

[0018] Step 5: Perform extended mixed carrier demodulation on the data r' to obtain a signal y;

[0019] Step 6: Perform transform domain equalization on the signal y obtained in step 5 to obtain a transform domain equalization result;

[0020] Step 7: Perform constellation demapping on the transform domain equalization result to recover 0 and 1 bit data.

[0021] Furthermore, the parameter β r satisfy:

[0022]

[0023] Where L = 2 N , <n>2 means taking the remainder, Indicates rounding down, when When β r The value of is chosen arbitrarily.

[0024] Furthermore, the unitary matrix Q is a channel matrix The channel matrix is ​​obtained by performing singular value decomposition The specific process of singular value decomposition is:

[0025]

[0026] in, is the channel matrix, P is the pair channel matrix The unitary matrix obtained by singular value decomposition is Λ b It is a diagonal matrix composed of diagonal elements, b = 0, 1,…, L-1.

[0027] Furthermore, the signal y is:

[0028] y=Ε H r′

[0029] Among them, E H represents the conjugate transposed matrix of E.

[0030] Furthermore, the transform domain equalization result is:

[0031]

[0032] in, represents the transform domain equalization result, and G represents the transform domain equalization matrix.

[0033] Furthermore, the transform domain equalization matrix G satisfies G=H H (HH H +σ 2 E H E) -1 , H represents the transform domain equivalent channel matrix, H H It represents the conjugate transposed matrix of H, and the superscript -1 represents the inverse of the matrix.

[0034] Furthermore, the transform domain equivalent channel matrix is:

[0035]

[0036] The beneficial effects of the present invention are:

[0037] This invention achieves power-layered multiplexing of symbols and minimizes residual interference through signal design. In fading channels, the method fully leverages the energy-spreading advantages of the hybrid carrier system, demonstrating excellent residual interference suppression. Minimizing residual interference further reduces the probability of misjudgment due to high-power interference, thereby improving bit error performance and effectively ensuring the reliability of wireless communications. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of an enhanced extended hybrid carrier transmission method based on residual interference minimization according to the present invention. DETAILED DESCRIPTION

[0039] Specific implementation method 1. Combination Figure 1 This embodiment describes an enhanced extended hybrid carrier transmission method based on residual interference minimization, and the method specifically includes the following steps:

[0040] On the sending side

[0041] Step 1: Perform baseband constellation mapping on a frame of data generated by the signal source to obtain a baseband constellation mapped signal x = [x0, x1, ..., x L-1 ] T ; where x0 is the first element in the signal x, x1 is the second element in the signal x, and x L-1 is the Lth element in signal x, the superscript T stands for transpose, and L is the length of signal x;

[0042] Step 2: Perform enhanced extended hybrid carrier modulation on the baseband constellation mapped signal x to obtain an output signal s after extended hybrid carrier modulation:

[0043] s=Εx

[0044] Wherein, E represents the enhanced extended hybrid carrier modulation matrix;

[0045]

[0046] Among them, [Ε] m,n represents the element in the mth row and nth column of the matrix E, where m = 0, 1, ..., L-1, n = 0, 1, ..., L-1, j is the imaginary unit, exp(·) represents the exponential function with the natural constant e as the base, θ m ∈(0,2π],

[0047] p represents the transmitter power constraint, σ 2 is the noise variance, the intermediate variable Λ b represents the bth eigenvalue of the channel, |·| represents the absolute value, and the intermediate variable Λ m Represents the mth eigenvalue of the channel, the intermediate variable q t,n is the element in the tth row and nth column of the matrix Q, where Q is a unitary matrix consisting of the channel eigenvectors;

[0048] Step 3: Add a cyclic prefix to the output signal s, perform digital / analog conversion and up-conversion on the result after adding the cyclic prefix, and transmit the up-converted signal to the channel;

[0049] On the receiving end

[0050] Step 4: The receiver performs down-conversion, analog-to-digital conversion, and cyclic prefix removal on the signal received from the channel, and records the processing result as data r′;

[0051] Step 5: Perform extended mixed carrier demodulation on the data r' to obtain a signal y;

[0052] Step 6: Perform transform domain equalization on the signal y obtained in step 5 to obtain a transform domain equalization result;

[0053] Step 7: Perform constellation demapping on the transform domain equalization result to recover 0 and 1 bit data.

[0054] The transmission process of this embodiment is executed for each frame of data generated by the information source.

[0055] Specific embodiment 2: This embodiment differs from the specific embodiment 1 in that the parameter β r satisfy:

[0056]

[0057] Where L = 2 N , <n>2 means taking the remainder, Indicates rounding down, when When β r The value of is chosen arbitrarily.

[0058] Other steps and parameters are the same as those in the first embodiment.

[0059] Specific embodiment 3: This embodiment differs from specific embodiment 1 or 2 in that the unitary matrix Q is a channel matrix The channel matrix is ​​obtained by performing singular value decomposition The specific process of singular value decomposition is:

[0060]

[0061] in, is the channel matrix, P is the pair channel matrix Another unitary matrix obtained by singular value decomposition is Λ b It is a diagonal matrix composed of diagonal elements, b = 0, 1,…, L-1.

[0062] Other steps and parameters are the same as those in the first or second embodiment.

[0063] Specific embodiment 4: This embodiment differs from any one of specific embodiments 1 to 3 in that the signal y is:

[0064] y=Ε H r′

[0065] Among them, E H represents the conjugate transposed matrix of E.

[0066] The other steps and parameters are the same as those in the first to third embodiments.

[0067] Specific embodiment 5: This embodiment differs from any one of specific embodiments 1 to 4 in that the transform domain equalization result is:

[0068]

[0069] in, represents the transform domain equalization result, and G represents the transform domain equalization matrix.

[0070] The other steps and parameters are the same as those in the first to fourth embodiments.

[0071] Specific embodiment 6: This embodiment differs from any one of specific embodiments 1 to 5 in that the transform domain equalization matrix G satisfies G=H H (HH H +σ 2 E H E) -1 , H represents the transform domain equivalent channel matrix, H H It represents the conjugate transposed matrix of H, and the superscript -1 represents the inverse of the matrix.

[0072] The other steps and parameters are the same as those in the first to fifth embodiments.

[0073] Specific embodiment 7: This embodiment differs from any one of specific embodiments 1 to 6 in that the transform domain equivalent channel matrix is:

[0074]

[0075] The other steps and parameters are the same as those in the first to sixth embodiments.

[0076] The above examples are merely illustrative of the calculation model and process of the present invention and are not intended to limit the embodiments of the present invention. Persons skilled in the art will readily appreciate that other variations or modifications based on the above description are possible. This list of embodiments is not exhaustive; however, any obvious variations or modifications derived from the technical solution of the present invention remain within the scope of protection of the present invention.< / n> < / n>

Claims

1. An enhanced extended hybrid carrier transmission method based on residual interference minimization, characterized in that: The method specifically comprises the following steps: On the sending side Step 1: Perform baseband constellation mapping on a frame of data generated by the signal source to obtain a baseband constellation mapped signal x = [x0, x1, ..., x L-1 ] T ; where x0 is the first element in the signal x, x1 is the second element in the signal x, and x L-1 is the Lth element in signal x, the superscript T stands for transpose, and L is the length of signal x; Step 2: Perform enhanced extended hybrid carrier modulation on the baseband constellation mapped signal x to obtain an output signal s after extended hybrid carrier modulation: s=Εx Wherein, E represents the enhanced extended hybrid carrier modulation matrix; Among them, [Ε] m,n represents the element in the mth row and nth column of the matrix E, where m = 0, 1, ..., L-1, n = 0, 1, ..., L-1, j is the imaginary unit, exp(·) represents the exponential function with the natural constant e as the base, θ m ∈(0,2π], p represents the transmitter power constraint, σ 2 is the noise variance, σ is the standard deviation of the noise, and the intermediate variable Λ b represents the bth eigenvalue of the channel, |·| represents the absolute value, and the intermediate variable Λ m Represents the mth eigenvalue of the channel, the intermediate variable q t,n is the element in the tth row and nth column of the matrix Q, where Q is a unitary matrix consisting of the channel eigenvectors; Step 3: Add a cyclic prefix to the output signal s, perform digital / analog conversion and up-conversion on the result after adding the cyclic prefix, and transmit the up-converted signal to the channel; On the receiving end Step 4: The receiver performs down-conversion, analog / digital conversion, and cyclic prefix removal on the signal received from the channel, and records the processing result as data r′; Step 5: Perform extended mixed carrier demodulation on the data r' to obtain a signal y; Step 6: Perform transform domain equalization on the signal y obtained in step 5 to obtain a transform domain equalization result; Step 7: Perform constellation demapping on the transform domain equalization result to recover 0 and 1 bit data.

2. The enhanced extended hybrid carrier transmission method based on residual interference minimization according to claim 1, characterized in that: The parameter β r satisfy: Where L = 2 N , <n>2 means taking the remainder, Indicates rounding down, when When β r The value of is chosen arbitrarily.< / n> 3. The enhanced extended hybrid carrier transmission method based on residual interference minimization according to claim 2, characterized in that: The unitary matrix Q is the channel matrix The channel matrix is ​​obtained by performing singular value decomposition The specific process of singular value decomposition is: in, is the channel matrix, P is the pair channel matrix The unitary matrix obtained by singular value decomposition is Λ b It is a diagonal matrix composed of diagonal elements, b = 0, 1,…, L-1.

4. The enhanced extended hybrid carrier transmission method based on residual interference minimization according to claim 3, characterized in that: The signal y is: y=E H r′ Among them, E H represents the conjugate transposed matrix of E.

5. The enhanced extended hybrid carrier transmission method based on residual interference minimization according to claim 4, characterized in that: The transform domain equalization result is: in, represents the transform domain equalization result, and G represents the transform domain equalization matrix.

6. The enhanced extended hybrid carrier transmission method based on residual interference minimization according to claim 5, characterized in that: The transform domain equalization matrix G satisfies G=H H (HH H +σ 2 E H E) -1 , H represents the transform domain equivalent channel matrix, H H It represents the conjugate transposed matrix of H, and the superscript -1 represents the inverse of the matrix.

7. The enhanced extended hybrid carrier transmission method based on residual interference minimization according to claim 6, characterized in that: The transform domain equivalent channel matrix is:

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