CN105262567A - Wireless signal transmission method and wireless communication system - Google Patents

Abstract

The invention discloses a wireless signal transmission method and a wireless communication system, and aims to provide a multi-input and multi-output (MIMO) wireless communication system and an Alamouti coding-based wireless signal transmission method. The wireless signal transmission method comprises the following steps of S01, setting the initial parameters of the algorithm; S02, modulating signals; S03, coding signals in the optimized orthogonal space time block coding manner to form a channel data matrix; S04, transmitting the channel data matrix; S05, receiving the channel data matrix and demodulating the channel data matrix; S06, outputting a maximum likelihood decoding. According to the invention, with the presence of multiple receive antennas, the better capacitive property can be obtained. Therefore, not only the good diversity effect is maintained, but also the complexity of the system coding is lowered. The above technical scheme of the invention is applicable to 60 GHz channels in the indoor environment.

Description

Wireless signal transmission method and wireless communication system

Technical Field

The invention relates to the field of semiconductor integrated circuit wireless communication signal processing, in particular to a multiple-input multiple-output (MIMO) wireless communication system applied to 60GHz WiFi communication and a wireless signal transmission method based on optimized Alamouti coding.

Background

The transmission rate of the 60GHz wireless communication technology can reach several Gbps, and the wireless communication system has the advantages of good confidentiality, high safety, high transmission speed, concentrated energy, good directivity, strong anti-interference capability and the like. However, the method has the disadvantages that in the process of propagation, the obstacle can generate a strong absorption effect on the 60GHz signal, the scattering effect of the 60GHz signal is very weak, and a Multiple-Input-Multiple-Output (MIMO) technology is used for the 60GHz wireless communication system, so that the larger path loss and the serious multipath fading of the 60GHz signal can be inhibited, and the performance of the 60GHz wireless communication system is improved. The MIMO technology can not only realize high-speed transmission but also improve transmission quality in a multipath fading environment. The optimized Alamouti orthogonal space-time block coding algorithm can effectively improve the channel capacity of the MIMO-60GHz wireless communication system and can effectively reduce the error rate of a communication channel.

In practical environments, for frequencies of 60GHz and above, the scattering effect is very weak due to high reflected energy loss, which results in large spatial correlation and is very unfavorable for spatial multiplexing. The 60GHz channels are often not independent of each other but correlated. In order to reduce the influence of correlation, the MIMO-60GHz wireless communication system must reasonably design the multi-antenna structure of the system, so important parameters such as antenna spacing, angle spread, central incident angle, and the like are very important for designing the multi-antenna structure.

The intellectual property office of the people's republic of china discloses a patent document with publication number CN102724028A in 2012, 10.10.10, entitled Alamouti coding method based on cooperative constellation mapping, which includes: dividing bit stream of a sending end into 3 groups, generating a modulation constellation and mapping 3 groups of bits; constructing a cooperative modulation symbol and combining the cooperative modulation symbol to obtain a transmission symbol, and transmitting the symbol by adopting an Alamouti space-time code; a receiving end receives signals in two symbol periods and constructs a composite received signal vector, and a zero forcing detection solution vector is calculated according to the vector; performing first-layer judgment on the zero-forcing detection solution vector by adopting a maximum likelihood estimation algorithm; and calculating the Euclidean distance, performing second-layer judgment, performing constellation inverse mapping on judgment results, and combining to obtain a bit stream. The scheme is suitable for a two-transmitting one-receiving multi-antenna system, and the communication performance is not ideal.

Disclosure of Invention

The technical problem to be solved by the invention is how to provide a wireless signal transmission method and a wireless communication system based on an optimized Alamouti orthogonal space-time block code algorithm for solving the problems of the bit error rate and capacity of 60GHz MIMO communication, and the method can greatly improve the actual throughput of the network on the basis of improving the communication performance of the 60GHz MIMO, thereby improving the network data forwarding efficiency and effectively reducing the bit error rate while ensuring the quality of ultra-high-speed communication signals, and further improving the communication quality of the whole 60GHz network.

The invention mainly solves the technical problems through the following technical scheme: a wireless signal transmission method, comprising the steps of:

s01, setting initial parameters of an algorithm; the initial parameters include: the number of the receiving and transmitting antennas, the modulation mode of a transmitting end, an angle expansion Sigma initial value, an antenna distance initial value, an optimization coefficient of an algorithm and the like;

s02, modulating signals;

s03, coding the signal according to the optimized orthogonal space-time block coding mode; and forming a channel data matrix;

s04, transmitting a channel data matrix;

s05, receiving and demodulating a channel data matrix;

and S06, outputting maximum likelihood decoding.

Preferably, in step S02, the modulation signal is specifically: dividing each q binary information bits from the information source into one group, mapping the two groups to the signal constellation to obtain 2 modulation signals s₀And s₁；q＝log₂Q and Q are numerical values of a system adopted by a modulation mode.

Preferably, step S03 is specifically: modulating signal s₀And a modulated signal s₁Sending the data to an encoder to obtain the following encoding matrix:

$S=\left[\begin{array}{cc}{s}_0& -s_1^{*}\\ s_1& s_0^{*}\end{array}\right]$

s₀ ^*is s is₀Complex conjugation of (a), s₁ ^*Is s is₁The asterisk in the upper right corner indicates the complex conjugate is taken.

Preferably, the step S04 is specifically: the output of the encoder is transmitted in two transmission periods which are consecutive in time, the signal transmitted by the transmitting antenna 0 being s in the first transmission period₀The signal transmitted by the transmitting antenna 1 is s₁(ii) a In the second transmission period, the signal transmitted from the transmitting antenna 0 is-s₁ ^*The signal transmitted by the transmitting antenna 1 is s₀ ^*。

Preferably, the channel fading is kept constant in two transmission periods, and the channel fading from the transmitting antenna 0 to the receiving antenna 0 is defined as h₀Channel fading from the transmitting antenna 1 to the receiving antenna 0 is h₁The channel fading from the transmitting antenna 0 to the receiving antenna 1 is h₂Channel fading from the transmitting antenna 1 to the receiving antenna 1 is h₃Then there is $h_0={\mathrm{\β}}_0{e}^{{\mathrm{j\θ}}_0},h={\mathrm{\β}}_1{e}^{{\mathrm{j\θ}}_1},h_1={\mathrm{\β}}_1{e}^{{\mathrm{j\θ}}_1},h_2={\mathrm{\β}}_2{e}^{{\mathrm{j\θ}}_2},h_3={\mathrm{\β}}_3{e}^{{\mathrm{j\θ}}_3},$ β₀,β₁,β₂,β₃Is the optimization coefficient of the algorithm, theta₀,θ₁,θ₂,θ₃The central incident angle is the data obtained by a plurality of experiments, and j is an imaginary unit; and then to

r₀＝h₀s₀+h₁s₁+n₀

$r_1=-h_0{s}_0^{*}+h_1{s}_0^{*}+n_1$

r₂＝h₂s₀+h₃s₁+n₂

$r_3=-h_2{s}_1^{*}+h_3{s}_0^{*}+n_3$

n₀,n₁,n₂,n₃Is a complex random variable of interference and noise of a receiving end and is obtained by experiments₀Is the signal received by the receiving antenna 0 in the first receiving period, r₁Is the signal received by the receiving antenna 0 in the second receiving period, r₂Is the signal received by the receiving antenna 1 in the first receiving period, r₃Is the signal received by the receiving antenna 1 in the second receiving period;

the step S05 specifically includes: the receiving antenna 0 and the receiving antenna 1 input the received signals to the combiner, and the channel estimator outputs the channel fading h₀、h₁、h₂And h₃Input into a combiner, the combiner outputs two signalsAnd

${\tilde{s}}_0=h_0^{*}{r}_0+h_1{r}_1^{*}+h_2^{*}{r}_2+h_3{r}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Δ}}_1{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

${\tilde{s}}_1=h_1^{*}{r}_0-h_0{r}_1^{*}+h_3^{*}{r}_2-h_2{r}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Δ}}_2{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

Δ₁,Δ₂is a correction function, Δ₁＝ψe^jsinθ,Δ₂＝ψe^jcosθψ is a normalization factor of a signal vector coefficient and a noise vector coefficient, d is a distance between antennas, and ψ and d are both one of initial parameters;

$W_{m,k}=j^{floor\left(\frac{m\×\mathrm{mod}(k+K/2,K)}{K/4}\right)},m=0,1,2,...,M-1;k=0,1,2,...K-1$

m is the row number of the matrix; k is the column number of the matrix, M is the number of the antenna elements, and K is the number of the beams; the floor function represents the largest integer that is less than or equal to the expression specified in parentheses, mod represents the remainder of the remainder operation function, and mod (X, Y) is the remainder of X divided by Y.

Preferably, step S06 is specifically: the output signal of the combiner is input to a maximum likelihood detector to obtain an output signalAnd

${\hat{s}}_0=({\mathrm{\β}}_0^2+{\mathrm{\β}}_1^2+{\mathrm{\β}}_2^2+{\mathrm{\β}}_3^2)s_0+h_0^{*}{n}_0+h_1{n}_1^{*}+h_2^{*}{n}_2+h_3{n}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Γ}}_1{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

${\hat{s}}_1=({\mathrm{\β}}_1^2+{\mathrm{\β}}_1^2+{\mathrm{\β}}_2^2+{\mathrm{\β}}_3^2)s_1-h_0{n}_1^{*}+h_1^{*}{n}_0-h_2{n}_3^{*}+h_3^{*}{n}_2+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Γ}}_2{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

in the formula,₁,₂is a function of the correction of the position of the object,₁＝ρ₁e^jsinθ+Ω₁e^jtgθ,₂＝ρ₂e^jsinθ+Ω₂e^jtgθ，ρ₁and ρ₂For signal vector coefficients, Ω₁And Ω₂Is a noise vector coefficient;

output signalAndi.e. and modulation signal s₀And a modulated signal s₁The corresponding signal.

A wireless communication system comprises a transmitting part and a receiving part, wherein the transmitting part comprises a modulator, an encoder, a transmitting antenna 0 and a transmitting antenna 1, the input end of the modulator is connected with a signal source, the output end of the modulator is connected with the encoder, and the encoder is connected with the transmitting antenna 0 and the transmitting antenna 1; the receiving part comprises a receiving antenna 0, a receiving antenna 1, a first channel estimator, a second channel estimator, a combiner and a maximum likelihood detector, wherein the receiving antenna 0 is respectively connected with the first channel estimator and the combiner, the receiving antenna 1 is respectively connected with the second channel estimator and the combiner, and the output ends of the first channel estimator, the second channel estimator and the combiner are respectively connected with the maximum likelihood detector.

The method is applied to the control program of the ultra-high bandwidth 60GHz wireless transceiver chip.

Based on the optimized Alamouti antenna algorithm, the invention can obtain better capacity performance under the condition of a plurality of receiving antennas, has not great difference with the optimal antenna selection algorithm, not only keeps good diversity effect of the MIMO-60GHz wireless communication system, but also can reduce the complexity of system coding. The Alamouti antenna algorithm based on optimization can be well suitable for 60GHz channels in indoor environments.

In the practical application of the 60GHz wireless communication system, due to the existence of external interference blocking, such as instant blocking by an obstacle between sending and receiving, and the like, some rare and generally unconsidered interference signals and other unpredictable effective signals may exist in the signals received by the antenna, and by using the MIMO-60GHz Alamouti space-time block coding, the method can inhibit the larger path loss and serious multipath fading of the 60GHz signals, realize high-speed transmission, improve the transmission quality, and greatly improve the throughput of the whole network, thereby improving the performance of the whole network, effectively improving the anti-interference capability of the signals, and improving the inhibition of the error rate.

The invention has positive effects on improving the channel capacity and the error rate applied to 60GHzWiFi communication and promoting the development of an ultra-high-speed wireless communication integrated circuit.

Drawings

Fig. 1 is a flow chart of a wireless signal transmission method of the present invention;

FIG. 2 is a schematic diagram of a signal transmission process and a receiving part according to the present invention;

fig. 3 is a schematic diagram of a transmitting section of the present invention.

Detailed Description

The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.

Example (b): the wireless communication system of the present embodiment includes two transmitting antennas and two receiving antennas, and a system model is shown in fig. 2. The transmitting antennas of the MIMO system are two antennas, and the transmitting diversity gain can obtain the maximum value. The signals transmitted from the two antennas are orthogonal to each other, and the received signals can be distinguished independently only by maximum likelihood decoding at the receiving end, so that diversity gain can be obtained.

The structure of the transmitting part is shown in fig. 3, and the transmitting part comprises a modulator, an encoder, a transmitting antenna 0 and a transmitting antenna 1, wherein the input end of the modulator is connected with a signal source, the output end of the modulator is connected with the encoder, and the encoder is connected with the transmitting antenna 0 and the transmitting antenna 1. The binary information transmitted by the source is first modulated, i.e. mapped onto a signal constellation. Assuming that a Q-ary modulation scheme is adopted, binary information bits from a source need to be grouped into Q bits, and Q is log₂And Q. One group comprises q binary information bits, two continuous groups are mapped to a signal constellation to obtain 2 modulation symbols, and then the modulation symbols are sent to an encoder, and two symbols are encoded according to the following mode:

$S=\left[\begin{array}{cc}{s}_0& -s_1^{*}\\ s_1& s_0^{*}\end{array}\right]$

the output of the encoder is transmitted in two transmission periods which are consecutive in time, the signal transmitted by the transmitting antenna 0 being s in the first transmission period₀The signal transmitted by the transmitting antenna 1 is s₁(ii) a In the second transmission period, the signal transmitted from the transmitting antenna 0 is-s₁ ^*Hair waving deviceThe signal transmitted by the transmitting antenna 1 is s₀ ^*。

The receiving end combines with a combiner and judges the received symbol with a maximum likelihood detector. At time slot t, the transmitting end respectively has channel parameters of h for transmitting antenna 0₀(t),h₁(t); for the transmitting antenna 1, the channel parameters are h₂(t),h₃(t) of (d). Assuming that the channel fading remains unchanged for two symbol periods, i.e.

$h_0\left(t\right)=h_0(t+T)=h_0={\mathrm{\β}}_0{e}^{{\mathrm{j\θ}}_0}---\left(1\right)$

$h_1\left(t\right)=h_1(t+T)=h_1={\mathrm{\β}}_1{e}^{{\mathrm{j\θ}}_1}---\left(2\right)$

$h_2\left(t\right)=h_2(t+T)=h_2={\mathrm{\β}}_2{e}^{{\mathrm{j\θ}}_2}---\left(3\right)$

$h_3\left(t\right)=h_3(t+T)=h_3={\mathrm{\β}}_3{e}^{{\mathrm{j\θ}}_3}---\left(4\right)$

Where T is the symbol transmission period, β₀,β₁,β₂,β₃Are coefficients optimized by the algorithm. Theta₀,θ₁,θ₂,θ₃Is the central angle of incidence.

As shown in fig. 1, after the program is started, first setting an optimized Alamouti space-time block code initial parameter, such as a Sigma initial value, an antenna distance initial value, and the like, and determining an algorithm initialization condition; then modulating signals according to a set modulation mode (such as BPSK, 16QAM and the like), and coding the modulated signals according to an optimized Alamouti algorithm to form a channel data matrix; then, the channel data is transmitted, and the receiving antenna receives and demodulates the channel data, and outputs the channel data by maximum likelihood decoding. In the process, the error rate and the throughput of the channel can be calculated according to the requirement.

When receiving and decoding, because the code words of the Alamouti space-time block code have orthogonality, the received signals of different antennas at the receiving end can be easily judged through maximum likelihood decoding. It is assumed that the channel state information is unchanged in two transmission periods, and the channel state information can be updated at the receiving end at any time. The following relations are provided:

r₀＝h₀s₀+h₁s₁+n₀(5)

$r_1=-h_0{s}_1^{*}+h_1{s}_0^{*}+n_1---\left(6\right)$

r₂＝h₂s₀+h₃s₁+n₂(7)

$r_3=-h_2{s}_1^{*}+h_3{s}_0^{*}+n_3---\left(8\right)$

${\tilde{s}}_0=h_0^{*}{r}_0+h_1{r}_1^{*}+h_2^{*}{r}_2+h_3{r}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Δ}}_1{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}---\left(9\right)$

${\tilde{s}}_1=h_1^{*}{r}_0-h_0{r}_1^{*}+h_3^{*}{r}_2-h_2{r}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Δ}}_2{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}---\left(10\right)$

wherein n is₀,n₁,n₂,n₃A complex random variable representing interference and noise at the receiving end.Is the transmission signal of the transmission antenna 0 in the time slot T and the time slot T + T.The transmit antenna 1 is transmitting signals in time slot T and time slot T + T. h is₀,h₁,h₂,h₃Is the channel fading coefficient between the transmitting antenna and the receiving antenna. r is₁,r₂Is the received signal of the receiving antenna 0 in time slot T and time slot T + T. r is₃,r₄Is the received signal of the receiving antenna 1 in time slot T and time slot T + T.Is the output signal of the combiner.

Δ₁,Δ₂Is a correction function, Δ₁＝ψe^jsinθ,Δ₂＝ψe^jcosθψ is a signal vector coefficient and noise vector coefficient normalization factor, d is a distance between antennas;

$W_{m,k}=j^{floor\left(\frac{m\×\mathrm{mod}(k+K/2,K)}{K/4}\right)},m=0,1,2,...,M-1;k=0,1,2,...K-1$

m is the row number of the matrix, which can also be regarded as the number of the antenna element; k is the column number of the matrix, which can also be regarded as the number of beams, M is the number of antenna elements, and K is the number of beams. The floor function represents taking the largest integer less than or equal to the expression specified in parentheses. mod represents a chess-taking operation function, and mod (X, Y) is a remainder obtained by dividing X by Y;

the signal obtained above is input to a maximum likelihood detector. Substituting equations (1) through (8) into (9) and (10) yields an output signal of

${\hat{s}}_0=({\mathrm{\β}}_0^2+{\mathrm{\β}}_1^2+{\mathrm{\β}}_2^2+{\mathrm{\β}}_3^2)s_0+h_0^{*}{n}_0+h_1{n}_1^{*}+h_2^{*}{n}_2+h_3{n}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Γ}}_1{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}---\left(11\right)$

${\hat{s}}_1=({\mathrm{\β}}_0^2+{\mathrm{\β}}_1^2+{\mathrm{\β}}_2^2+{\mathrm{\β}}_3^2)s_1-h_0{n}_1^{*}+h_1^{*}{n}_0-h_2{n}_3^{*}+h_3^{*}{n}_2+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Γ}}_2{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}---\left(12\right)$

Wherein,₁,₂is a function of the correction of the position of the object,₁＝ρ₁e^jsinθ+Ω₁e^jtgθ,₂＝ρ₂e^jsinθ+Ω₂e^jtgθ，ρ₁,ρ₂for signal vector coefficients, Ω₁,Ω₂Are noise vector coefficients.

The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.

Although the terms modulation, orthogonal space-time block coding, channel data matrix, etc. are used more often herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.

Claims (7)

1. A method of wireless signal transmission, comprising the steps of:

s01, setting initial parameters of an algorithm;

s02, modulating signals;

s03, coding the signal according to the optimized orthogonal space-time block coding mode; and forming a channel data matrix;

s04, transmitting a channel data matrix;

s05, receiving and demodulating a channel data matrix;

and S06, outputting maximum likelihood decoding.

2. The method according to claim 1, wherein in step S02, the modulation signal is specifically: dividing each q binary information bits from the information source into one group, mapping the two groups to the signal constellation to obtain 2 modulation signals s₀And s₁；q＝log₂Q and Q are numerical values of a system adopted by a modulation mode.

3. The method according to claim 2, wherein the step S03 is specifically as follows: modulating signal s₀And a modulated signal s₁Sending the data to an encoder to obtain the following encoding matrix:

$S=\left[\begin{array}{cc}{s}_0& -s_1^{*}\\ s_1& s_0^{*}\end{array}\right]$

s₀ ^*is s is₀Complex conjugation of (a).

4. The method according to claim 3, wherein the step S04 specifically comprises: transmitting the output of the encoder during two transmission periods in time succession, firstIn a transmission period, the signal transmitted from the transmitting antenna 0 is s₀The signal transmitted by the transmitting antenna 1 is s₁(ii) a In the second transmission period, the signal transmitted from the transmitting antenna 0 is-s₁ ^*The signal transmitted by the transmitting antenna 1 is s₀ ^*。

5. A method as claimed in claim 4, characterized in that the channel fading remains unchanged during both transmission periods, defining the channel fading from the transmitting antenna 0 to the receiving antenna 0 as h₀Channel fading from the transmitting antenna 1 to the receiving antenna 0 is h₀The channel fading from the transmitting antenna 0 to the receiving antenna 1 is h₂Channel fading from the transmitting antenna 1 to the receiving antenna 1 is h₃Then there is β₀,β₁,β₂,β₃Is the optimization coefficient of the algorithm, theta₀,θ₁,θ₂,θ₃Is the central angle of incidence, j is the imaginary unit; and then to

r₀＝h₀s₀+h₁s₁+n₀

$r_1=-h_0{s}_1^{*}+h_1{s}_0^{*}+n_1$

r₂＝h₂s₀+h₃s₁+n₂

$r_3=-h_2{s}_1^{*}+h_3{s}_0^{*}+n_3$

n₀,n₁,n₂,n₃Is a complex random variable of interference and noise at the receiving end, r₀Is the signal received by the receiving antenna 0 in the first receiving period, r₁Is the signal received by the receiving antenna 0 in the second receiving period, r₂Is the signal received by the receiving antenna 1 in the first receiving period, r₃Is the signal received by the receiving antenna 1 in the second receiving period;

the step S05 specifically includes: the receiving antenna 0 and the receiving antenna 1 input the received signals to the combiner, and the channel estimator outputs the channel fading h₀、h₁、h₂And h₃Input into a combiner, the combiner outputs two signalsAnd

${\tilde{s}}_0=h_0^{*}{r}_0+h_1{r}_1^{*}+h_2^{*}{r}_2+h_3{r}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Δ}}_1{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

${\tilde{s}}_1=h_1^{*}{r}_0-h_0{r}_1^{*}+h_3^{*}{r}_2-h_2{r}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Δ}}_2{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

Δ₁,Δ₂is a correction function, Δ₁＝ψe^jsinθ,Δ₂＝ψe^jcosθψ is a signal vector coefficient and noise vector coefficient normalization factor, d is a distance between antennas;

$W_{m,k}=j^{floor\left(\frac{m\×\mathrm{mod}(k+K/2,K)}{K/4}\right)},m=0,1,2,...,M-1;k=0,1,2,...K-1$

m is the row number of the matrix; k is the column number of the matrix, M is the number of the antenna elements, and K is the number of the beams; the floor function represents the largest integer that is less than or equal to the expression specified in parentheses, mod represents the remainder of the remainder operation function, and mod (X, Y) is the remainder of X divided by Y.

6. The method according to claim 5, wherein the step S06 specifically comprises: the output signal of the combiner is input to a maximum likelihood detector to obtain an output signalAnd

${\hat{s}}_0=({\mathrm{\β}}_0^2+{\mathrm{\β}}_1^2+{\mathrm{\β}}_2^2+{\mathrm{\β}}_3^2)s_0+h_0^{*}{n}_0+h_1{n}_1^{*}+h_2^{*}{n}_2+h_3{n}_3^{*}+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Γ}}_1{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

${\hat{s}}_1=({\mathrm{\β}}_0^2+{\mathrm{\β}}_1^2+{\mathrm{\β}}_2^2+{\mathrm{\β}}_3^2)s_1-h_0{n}_1^{*}+h_1^{*}{n}_0-h_2{n}_3^{*}+h_3^{*}{n}_2+\underset{m=0}{\overset{M-1}{\Σ}}{\mathrm{\Γ}}_2{W}_{m,k}{e}^{j2\mathrm{\π}m\frac{d}{\mathrm{\λ}}cos\mathrm{\θ}}$

in the formula,₁,₂is a function of the correction of the position of the object,₁＝ρ₁e^jsinθ+Ω₁e^jtgθ,₂＝ρ₂e^jsinθ+Ω₂e^jtgθ，ρ₁,ρ₂for signal vector coefficients, Ω₁,Ω₂Is a noise vector coefficient; (ii) a

Output signalAndi.e. and modulation signal s₀And a modulated signal s₁The corresponding signal.

7. A wireless communication system using the wireless signal transmission method according to claim 1, comprising a transmitting part and a receiving part, wherein the transmitting part comprises a modulator, an encoder, a transmitting antenna 0 and a transmitting antenna 1, an input end of the modulator is connected to a signal source, an output end of the modulator is connected to the encoder, and the encoder is connected to the transmitting antenna 0 and the transmitting antenna 1; the receiving part comprises a receiving antenna 0, a receiving antenna 1, a first channel estimator, a second channel estimator, a combiner and a maximum likelihood detector, wherein the receiving antenna 0 is respectively connected with the first channel estimator and the combiner, the receiving antenna 1 is respectively connected with the second channel estimator and the combiner, and the output ends of the first channel estimator, the second channel estimator and the combiner are respectively connected with the maximum likelihood detector.