KR100282643B1 - Apparatus and method for adaptive array antenna adaptive control - Google Patents

Abstract

In the present invention, when a beamforming is performed using a MUSIC algorithm in a moving object equipped with an adaptive array antenna, the reception angle is converted into approximate direction information, and the phase delay value is preliminarily stored and used. The present invention relates to an adaptive control device and adaptive control method for an adaptive array antenna capable of real-time signal processing by reducing the number of signals received by a predetermined array antenna element, A signal processing channel (30) for extracting a signal; A central processing unit 50 for calculating a correlation value of received signals to obtain a correlation value, and detecting a reception angle by applying a MUSIC algorithm; Angle conversion and quantization means (60) for converting the beam of the antenna element into a near-direction information by separating the beam of the antenna element at a predetermined angle corresponding to the detected reception angle; A lookup table ROM 70 for outputting a preset weight value corresponding to the approximate direction information; And output means 80 for forming and outputting a beam forming pattern from the signals and weights received by the respective antenna elements. The present invention can realize a system at a low cost because the number of channel elements can be reduced, The values of the weights for eliminating the interference signal are stored in advance in the lookup table and read out, thereby reducing computational complexity and memory, and it is also a useful invention capable of removing interference signals in real time from a moving object.

Description

Apparatus and method for adaptive array antenna adaptive control

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and method for adaptive control of an adaptive array antenna, and more particularly, to a method and apparatus for adaptive control of an adaptive array antenna in a mobile body equipped with an Adaptive Array Antenna By converting angles into approximate direction information and storing and using phase delay values in advance, it is possible to reduce the complexity of numerical calculation and memory increase, and to compensate for errors even in a low SNR environment, The present invention also relates to an adaptive control apparatus and method of an adaptive array antenna capable of real-time signal processing mounted on a moving object.

An adaptive array antenna is an array antenna that can control the beamforming pattern of an active antenna. That is, the adaptive array antenna is an antenna in which the beamforming pattern of the antenna is automatically changed according to the environment of the signal which changes frequently according to the change of time, and a method of optimizing SNIR (Signal-to-Noise plus Interference Ratio) use. Therefore, the adaptive array antenna can protect the communication system from the interference signal even when the direction of the interference signal is not known. In order to use the adaptive array antenna, it is necessary to detect the correct signal direction.

Therefore, research for detecting the direction of receiving signals from a received signal with noises has been continued in applications such as radar, sonar, and radio signal processing, and research fields using a subframe have been studied for a high efficiency and low We have developed a method with computational complexity, which is the MUSIC algorithm.

In other words, the adaptive array antenna system can increase the capacity of the system because of its excellent interference cancellation capability. Therefore, the adaptive array antenna system can meet the demand of the mobile communication, and it is inevitable to use the adaptive array antenna in the IMT 2000 system providing the multimedia service having a large amount of information.

On the other hand, the adaptive beamforming technology is used for two-way communication of communication or broadcasting performance. In the military field, its practical range has reached a considerable level. However, in utilizing it in the field of civil communication, The price problem that is used to solve this problem is the biggest problem. Therefore, the adaptive beamforming scheme for bidirectional satellite communication results in a problem of how to generate a beam pattern that uses the minimum number of components but maintains excellent communication performance. In addition, the adaptive array antenna technology, which is indispensable in the next generation mobile communication environment pursued by IMT-2000 as well as satellite-based mobile communication, needs to solve the problem of price and reliability soon by enlarging the user base and developing the technology.

In addition, a commercially available adaptive array antenna for a mobile object has not yet been developed in the world, and adaptive beam forming technology for a mobile object requires digital signal processing for the accuracy and reliability of a required beam.

The conventional adaptive array antenna system consists largely of a part for detecting the direction of an intended signal and an adaptive processor part for obtaining a weight by an intended direction and an interference cancellation algorithm. And the antenna output signal is obtained as the sum of the products of the weights.

FIG. 1 is a configuration diagram of an adaptive control apparatus of an adaptive array antenna according to the prior art, which includes an adaptive array antenna 1 having an M × M antenna element 2; A signal processing channel 3 for converting a signal received from each antenna element into a digital signal; An adaptive processor 4 for applying a corresponding algorithm to each of M × M received signals received from the signal processing channel 3 and outputting a weighted phase delay value; M × M multipliers (5) multiplying the received signals of the M × M antenna elements by respective weights; And an adder 6 for adding the output of the multiplier 5 and outputting an antenna output signal. The adaptive processor 4 obtains M × M weights by using a MUSIC algorithm.

2 is a detailed block diagram of the digital signal processing channel 3 of FIG. 1, which includes a down converter (D / C) 31, a band pass filter (BFP) 32 and an analog- 33, and converts the received signal, which is a radio frequency, into a digital signal of an appropriate frequency band. FIG. 3 is a detailed block diagram of the adaptive processor 4 of FIG. 1, x _{i, j} (t) A signal processor 41 for receiving a fed back output signal level | y | to obtain a correlation value and a phase delay value calculating unit 41 for applying the MUSIC algorithm to the output of the signal processor 41 φ _{i, j} (t) The adaptive processor 4 may be implemented as a digital signal processor (DSP).

The MUSIC algorithm will be described in detail as follows. Here, the MUSIC algorithm is an algorithm used to detect a direction of a received signal, and can perform beamforming using the direction of the derived signal.

First, the signal model of the MUSIC algorithm is as follows.

That is, if the signals received by the M array elements are linearly combined with the D signals and the noise, the received signals of the respective array antennas are expressed as follows.

That is,

X = AF + W

, ≪ / RTI > a (? _i ) The

.

The signals are complex quantities with magnitude and phase , And the matrix A Represents the signal receiving angle and the position of each array element. That is,

Lt; / RTI >

Next, the principle of the MUSIC algorithm is as follows.

First, the M * M correlation matrix of the vector X,

, Which can be expressed as follows.

_{^{R = APA + + λ min R}} 0

At this time, λ _min silver | R -? R ₀ | = 0 Minimum to satisfy λ Value. In addition, the noise vector, W, σ And λ _min R ₀ = σ ² I . At this time σ ² Denotes the noise power, and I denotes the identity matrix. therefore,

R = APA ⁺ + σ ² I

Can be written.

The M eigenvector of R is . And _{^{R = APA + + λ min R}} 0 Because of APA ⁺ e _i = (? _I -? _Min ) R ₀ e _i . therefore λ _i end λ _min If so, APA ⁺ e _i = 0 or A ⁺ e _i = 0 . In other words λ _min Has an orthogonal relationship with the signal vector A.

if E _N If the row is defined as an M * M matrix with N noise eigenvectors, then the direction detection algorithm MUSIC,

.

if θ Once the value matches the angle of the received signal, it is determined according to the orthogonal nature a (?) ⁺ E _N E _N ⁺ a (?) 0 < / RTI > P _M (?) Becomes a large value.

Meanwhile, FIG. 4 shows an antenna having three one-dimensional array elements, where the received signal is w _d And the three elements are separated by half a wavelength. Each signal x _j (t) Lt; RTI ID = 0.0 > noise. ≪ / RTI > That is, by expressing such a received signal as an equation,

x ₁ (t) = d ₁ (t) + n ₁ (t)

x ₂ (t) = d ₂ (t) + n ₂ (t)

x ₃ (t) = d ₃ (t) + n ₃ (t)

At this time, Represent the desired signal and noise, respectively. Also Is given as follows.

d ₁ (t) = A _d e ^{j (w d t +? d )}

d ₂ (t) = A _d e ^{j (w d t +? d -φ d )}

d ₃ (t) = A _d e ^{j (w d t +? d -2φ d )}

remind A _d Represents the magnitude of the desired signal, ψ _d Represents the phase angle in the first antenna element φ _d Represents the phase shift between the devices.

Also, since the interval between elements is defined as half wavelength,

φ _d = _d πsinθ

to be.

Here, when the matrices are summarized for the calculation of the correlation matrix,

And a correlation matrix is obtained by using these,

E = (X ^* X ^T ) = E (X _d ^* X _d ^T ) + E (X _n ^* X _n ^T )

, And the calculation of each term is

.

Therefore, Φ Is as follows.

Using this, an eigenvector can be calculated, and Equation (8) can be used.

FIG. 5 shows an antenna with three array elements for two axes, with five antenna elements being separated by half a wavelength for each axis. Here, the received signals are at respective elevation angles ( θ ) And azimuth angle φ ). ≪ / RTI > The elevation angle ( θ ) Ranges from 0 to 90 degrees, the azimuth ( φ ) Ranges from 0 degrees to 360 degrees.

The received signal is received at an angle of u relative to the X-axis element, and for the Y- v Lt; / RTI > therefore Respectively. In other words, Lt; / RTI > By using the above equations, an eigenvector matrix for elements of each axis can be obtained as in the case of a one-dimensional array, and the direction is given by the following equation.

Meanwhile, FIG. 6 shows a 10x10 planar array antenna. When beam forming is performed using the 10x10 planar array antenna, it is assumed that the reference device is a device at a point where the X axis and the Y axis start, , The optimal weight Quot;

Lt; / RTI >< RTI ID = 0.0 > Is a covariance matrix, S Denotes a space vector. As a result,

And is output in the form of a sum of products of the weights and the received signals.

On the other hand, when the reception direction of a signal is detected using the MUSIC algorithm and beamforming is performed on the basis of the detection result, it is assumed that all signals used as a model have 25 [dB] θ Value and φ Values are shown for various cases with varying values.

The signal direction was detected using a 3 × 3 adaptive array antenna, and the beamforming was performed using a 10 × 10 adaptive array antenna.

Fig. 7 is a basic signal direction detection model. θ , φ ) = (0, 0). The X-axis θ And the Y axis represents the range of 0 to 90 degrees φ And ranges from 0 degrees to 360 degrees. Here, the z-axis is expressed in logarithm.

Figure 8 shows a basic beamforming, in which the receive angle θ , φ ) = (0, 0), where the elevation angle ( θ ) Is expressed from the origin point to the outer direction, and its circumference is represented by the azimuth angle ( φ ), Which ranges from 0 degrees to 90 degrees, and is represented by a normalized radian value in the diagram.

FIG. 9 is a graph showing the relationship between θ = 70 degrees), assuming that the signal size is 10 and the noise power is 4, so that the SNR is 25 [dB]. The angle of the signal received by the first antenna element θ Is assumed to be 70 degrees. In FIG. 9, a range of -90 to 90 degrees θ The highest peak was found only at 70 degrees. As a result, it can be seen that the signal was received at 70 degrees.

FIG. 10 shows a conventional two-dimensional three-element signal direction detection θ = 50 degrees, φ = 200 degrees). In the two-dimensional signal direction detection, a signal having a magnitude of 10 and a noise of a power of 4 are assumed to be SNR of 25 [dB] using the same signal model as in the one-dimensional case . Here, the azimuth angle ( φ ) Is 200 degrees, and the altitude angle ( θ ) Was assumed to be 50 degrees.

FIG. 11 shows a conventional two-dimensional 10 × 10 element beam forming ( θ = 50 degrees, φ = 200 degrees) As the diagram, the two-dimensional beam forming in which the number of arrays is set to 10 x 10 is performed by using the two-dimensional signal direction detection, and similarly, θ Is in the range of 0 to 90 degrees, φ Has a range of 0 to 360 degrees. Here, θ Lt; / RTI > φ Lt; RTI ID = 0.0 > 200 C. < / RTI >

However, in the conventional adaptive array antenna system, many channel elements including a down-converter, a band-pass filter, and an analog-to-digital converter are required for each antenna element in order to detect the direction of a desired signal. There is a problem that numerical calculation complexity and memory increase in detecting a weight value and a direction that suppress interference with respect to a high-priced, time-varying signal in the real-time signal processing, and real-time signal processing is impossible.

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide an adaptive control apparatus and method for an adaptive array antenna, which realizes an adaptive system using a minimum number of channel elements, And to process an algorithm for eliminating interference signals in real time.

1 is a configuration diagram of an adaptive control apparatus of an adaptive array antenna according to a conventional technique,

2 is a detailed configuration diagram of the digital signal processing channel of FIG. 1,

FIG. 3 is a detailed configuration diagram of the adaptive processor of FIG. 1,

Figure 4 shows a one-dimensional linear array antenna,

5 is a three-dimensional diagram of a two-dimensional planar array antenna,

Figure 6 shows a 10x10 planar array antenna,

Figure 7 shows a basic signal direction detection diagram using a 3x3 planar array antenna,

Figure 8 shows a basic beamforming diagram using the 10x10 planar array antenna of Figure 6,

Figure 9 shows an example of a one-dimensional signal direction detection diagram according to the prior art,

10 shows an example of a planar signal direction detection diagram according to the prior art,

Fig. 11 shows an example of a planar beam forming diagram according to the prior art,

12 is a configuration diagram of an adaptive controller of an adaptive array antenna according to an embodiment of the present invention,

13 illustrates a planar approximation direction detection diagram according to an embodiment of the present invention,

Figure 14 shows a planar approximate beamforming diagram according to an embodiment of the present invention,

15 is a flowchart of an adaptive control method of an adaptive array antenna according to an embodiment of the present invention.

[Description of Drawings]

1, 10: Adaptive array antenna 2, 20: Antenna element (ANT)

3, 30: signal processing channel 31: down converter (D / C)

32: band-pass filter (BFP) 33: analog-to-digital converter (ADC)

4: Adaptive Processor 5, 40: Multiplier

50: central processing unit (CPU) 60: angle conversion and quantization means

70: lookup table (ROM) 6, 80: adder

According to another aspect of the present invention, there is provided an adaptive array antenna, comprising: a plurality of array antenna elements selected from a plurality of array antenna elements, Signal processing means for extracting each of the received signals as a digital signal; Control means for calculating a correlation value of the extracted signals to obtain a correlation value, and detecting a reception angle by applying a corresponding algorithm; Extracting means for extracting a weight for each array antenna element from the detected reception angle; And an output means for forming a beamforming pattern from the received signals and the weights and outputting the beamforming patterns to the respective antenna elements,

The adaptive control method of an adaptive array antenna according to the present invention is an adaptive control method of an adaptive array antenna, in which signals received by a predetermined number of array antenna elements, which are selected from all array antenna elements, A first step of extracting each of the signals by a signal; A second step of calculating a correlation value of the extracted signals to obtain a correlation value and detecting a reception angle by applying a corresponding algorithm; A third step of extracting a weight for each array antenna element from the detected reception angle; And a fourth step of forming and outputting a beamforming pattern from the received signals and weight values of the respective antenna elements.

The apparatus and method for adaptive control of an adaptive array antenna according to the present invention configured as described above are characterized in that signals received by a predetermined number of array antenna elements not present on a single axis selected from all array antenna elements are converted into digital signals The control means calculates the correlation between the received signals to obtain a correlation value, and when the reception angle is detected by applying the corresponding algorithm, the extraction means calculates the weight for each array antenna element from the detected reception angle And a beamforming pattern is formed from the received signal and the weight to obtain a weighting for the reception angle of the intended signal, Because the previously calculated value is read and the antenna element is multiplied and output, .

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of an adaptive control apparatus and method of an adaptive array antenna according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 12 is a block diagram of an adaptive control apparatus of an adaptive array antenna according to the present invention, in which a signal processing channel 30 for extracting signals received by a predetermined array antenna element by a digital signal; A central processing unit 50 for calculating a correlation value of received signals to obtain a correlation value, and detecting a reception angle by applying a MUSIC algorithm; Angle converting and quantizing means (60) for converting the beam of the antenna element into the approximate direction information by separating the altitude angle and the azimuth angle by 4 degrees, respectively, corresponding to the detected receiving angle; A lookup table ROM 70 for outputting a preset weight value corresponding to the approximate direction information; And an output means for forming and outputting a beamforming pattern from the signals and weights received by the respective antenna elements. Here, the signal processing channel 30 includes a down converter 31, a band pass filter 32, And the output means includes a plurality of multipliers 40 and an adder 80 and the embodiment of the present invention uses an MUSIC algorithm to detect the direction of a received signal and to perform a beam forming method , It is possible to reduce the number of weights and to prevent the performance from being degraded, to calculate the weight for the reception angle of the intended signal, to read the value from the stored ROM lookup table, .

FIG. 15 is a flowchart illustrating an adaptive control method of an adaptive array antenna according to an exemplary embodiment of the present invention. Referring to FIG. 12 and FIG. 15, The apparatus and method will be described in detail in parallel.

12, (M x M) In the array antenna system, the number of signal processing channels 30 required to extract the direction information of a signal through the digital signal processing is at least 3, and in order to extract the signal direction in the multipath environment, at least one signal processing channel number is added (S11 , S12). Each of the signal processing channels 30 is required to have a channel element composed of a down-converter 31, a band-pass filter 32 and an analog-to-digital converter 33 as shown in FIG.

That is, in order to process the received high-frequency signal into a digital signal, a down-converter 31 and a band-pass filter 32 required for down-converting to a proper frequency band are required in the signal processing channel 30, Speed analog-to-digital converter (ADC) for processing.

In the algorithm based on the correlation matrix, the correlation of signals is calculated through the central processing unit 50, R (O) In this MUSIC algorithm, the detection direction (DOA) of the signal is calculated using the noise space eigenvector based on the correlation (S13)

The central processing unit 50 calculates the azimuth angle θ _x , θ _y ) Before outputting the output signal level | y | And correlation value R (O) , ≪ / RTI > θ _x , θ _y (S14, S15, S16), where? L is variable according to the application algorithm.

The central processing unit 50 can limit the number of processors required by the centralized and real time processing techniques to one or two, but the signal processing channel 30 required for high-speed analog-to- It is very important to keep the number of signal processing request channels to a minimum because the number of channels required for the signal processing is required.

Of course, decreasing the number of the signal processing channels 30 also reduces accuracy and reliability. The requirement on the signal processing channel number 30 is closely related to the algorithm for determining the DOA (Direction of Arrival) of the signal. Therefore, an algorithm that can ensure accuracy and reliability despite the minimum number of signal processing channels Is required.

Therefore, the reception direction of the intended signal is detected by an algorithm such as correlation and MUSIC in the central processing unit 50, and because the present invention requires signals received from elements of only three antennas by mathematical calculation, The elements of the processing channel 30 can be reduced. That is, referring to FIG. 5, when the signals received from the three antenna elements are obtained, the phase difference between all the antenna elements can be known.

Next, in the angle transforming and quantizing means 60, the beam is detected at intervals of 4 degrees in order to detect the antenna beam of the received signal in order to detect the direction of the signal applied to the moving object in real time (S17). That is, in order to detect the direction in real time, an angle change is sampled to sample the direction information of the antenna beam, and quantization means 60 θ _x , θ _y The value is output as the approximate azimuth and elevation angle required.

In the look-up table 70, a weight for eliminating the interference signal with respect to the reception angle of the intended signal is obtained and stored (S18). That is, the magnitude and phase of the signal are adjusted to obtain a weight, and a look-up table implemented in a ROM (ROM) φ (1,1), φ, φ (m, m) .

Therefore, if we know only the reception direction of the intended signal, a complicated process of calculating the weight is unnecessary. Since the weight corresponding to the direction of the received signal is read and multiplied by each antenna element, interference can be removed in real time from the mobile. As a result, the antenna output (y) is obtained as the sum of the products of the signals received by the respective antenna elements and the weights obtained in this process. That is, the phase delay value output from the lookup table 70 is multiplied by a multiplier 40 to obtain a sum of the multipliers through an adder 80, and a beamforming pattern is output (S19 ). Here, if the beamforming pattern has a large error (S20), it is also possible to calculate the approximate direction information again after narrowing the separation interval by the angle conversion and quantization means 60 (S21).

Meanwhile, FIG. 6 shows a 10 × 10-plane array antenna. Tables 1 to 3 illustrate some examples of weights added to each element when beam forming is performed using the antenna. In this case, the reference element is assumed to be the element at the starting point of the X axis and the Y axis. In the case of the 10 × 10 array antenna, the number of stored lookup tables is 720 (8 × 90).

FIG. 13 is a flowchart illustrating a method of detecting a two-dimensional signal direction in the implementation of the adaptive control apparatus according to the present invention θ = 49 degrees, φ = 200 degrees). As a diagram, a signal model such as the two-dimensional signal direction detection and SNR 25 [dB] are set. Altitude angle θ ) Detects 29 degrees to 61 degrees at an interval of 4 degrees, and detects an azimuth ( φ ) Also detected from 0 to 360 degrees at an interval of 4 degrees. therefore θ Has nine values φ Lt; RTI ID = 0.0 > 91 < / RTI > Compared with FIG. 10, FIG. 13 shows that the system is easy to implement and at the same time the performance is reduced to a minimum.

FIG. 14 is a diagram illustrating a two-dimensional 10 × 10 antenna element beam forming θ = 49 degrees, φ = 200 degrees) diagram, an angle derived by signal detection used in actual system implementation θ = 49 φ = 200 degrees. Like signal direction detection θ Has a range from 29 degrees to 61 degrees in 4 degree intervals, φ Has a range from 0 degrees to 360 degrees at intervals of 4 degrees. As a result, as can be seen from FIG. 14, the performance deterioration hardly occurs as compared with FIG.

As a result, according to the present invention, by scanning the beam of the antenna at intervals of 4 degrees in order to detect the direction of the intended signal in real time, and using a lookup table in which weights are calculated and stored according to the reception angle of the intended signal, Since it is not necessary to drive the interference cancellation algorithm by knowing only the reception direction, the weights of the lookup table need to be immediately read and multiplied by the antenna element. Therefore, the present invention can be applied to a moving object that varies with time. This is an efficient adaptive control apparatus and method requiring only an antenna element.

Weights for each element of 10 × 10 plane array antenna (θ = 50 degrees, φ = 200 degrees). mistake One 0.68 -0.075 -0.782 -0.989 -0.562 0.224 0.867 0.955 0.431 Imaginary 0 -0.733 -0.997 -0.623 0.15 0.827 0.975 0.498 -0.297 -0.902 mistake -0.637 0.132 0.817 0.978 0.514 -0.279 -0.894 -0.936 -0.379 0.421 Imaginary 0.771 0.991 0.577 -0.206 -0.858 -0.96 -0.448 0.351 0.925 0.907 mistake -0.188 -0.848 -0.965 -0.464 0.334 0.918 0.915 0.326 -0.472 -0.967 Imaginary -0.982 -0.53 0.262 0.886 0.943 0.396 -0.404 -0.945 -0.882 -0.254 mistake 0.877 0.949 0.413 -0.387 -0.939 -0.89 -0.272 0.521 0.98 0.812 Imaginary 0.48 -0.316 -0.911 -0.922 -0.343 0.455 0.962 0.853 0.198 -0.584 mistake -0.929 -0.36 0.439 0.957 0.863 0.216 -0.569 -0.99 -0.777 -0.067 Imaginary 0.37 0.933 0.899 0.289 -0.505 -0.976 -0.822 -0.142 0.629 0.998 mistake 0.307 -0.489 -0.972 -0.833 -0.16 0.615 0.996 0.74 0.01 -0.726 Imaginary -0.952 -0.872 -0.234 0.554 0.987 0.789 0.085 -0.673 -0.999 -0.687 mistake 0.538 0.984 0.8 0.104 -0.659 -0.999 -0.701 0.047 0.764 0.993 Imaginary 0.843 0.178 -0.6 -0.995 -0.752 -0.028 0.714 0.999 0.645 -0.122 mistake -0.993 -0.764 -0.047 0.701 0.999 0.659 -0.104 -0.8 -0.984 -0.538 Imaginary -0.122 0.645 0.999 0.714 -0.029 -0.752 -0.995 -0.6 0.178 0.843 mistake 0.726 -0.01 -0.74 -0.996 -0.615 0.16 0.833 0.972 0.489 -0.307 Imaginary -0.687 -0.999 -0.672 0.085 0.789 0.987 0.554 -0.234 -0.872 -0.952 mistake 0.067 0.777 0.99 0.567 -0.216 -0.863 -0.957 -0.439 0.361 0.929 Imaginary 0.998 0.629 -0.142 -0.822 -0.976 -0.505 0.289 0.899 0.933 0.37

Weights for each element of 10 × 10 plane array antenna (θ = 35 degrees, φ = 100 degrees). mistake One -0.202 -0.918 0.574 0.686 -0.852 -0.341 0.99 -0.059 -0.966 Imaginary 0 0.979 -0.396 -0.819 0.728 0.524 -0.94 -0.144 0.998 -0.26 mistake 0.951 -0.494 -0.752 0.798 0.428 -0.972 -0.035 0.986 -0.364 -0.839 Imaginary 0.308 0.869 -0.66 -0.602 0.904 0.237 -0.999 0.168 0.932 -0.545 mistake 0.81 -0.738 -0.512 0.945 0.13 -0.997 0.274 0.886 -0.633 -0.63 Imaginary 0.586 0.675 -0.86 -0.328 0.992 -0.074 -0.962 0.463 0.774 -0.776 mistake 0.591 -0.91 -0.223 0.999 -0.182 -0.926 0.557 0.701 -0.84 -0.361 Imaginary 0.807 0.415 -0.975 -0.021 0.983 -0.377 -0.831 0.713 0.542 -0.933 mistake 0.314 -0.993 0.088 0.958 -0.476 -0.765 0.785 0.447 -0.966 -0.056 Imaginary 0.949 0.115 -0.996 0.288 0.88 -0.644 -0.619 0.894 0.257 -0.998 mistake 0.006 -0.981 0.391 0.822 -0.723 -0.53 0.938 0.15 -0.999 0.254 Imaginary 0.999 -0.196 -0.921 0.569 0.69 -0.848 -0.347 0.988 -0.053 -0.967 mistake -0.301 -0.873 0.655 0.607 -0.9 -0.243 0.999 -0.162 -0.934 0.539 Imaginary 0.953 -0.489 -0.756 -0.794 0.434 -0.97 -0.042 0.987 -0.358 -0.842 mistake -0.581 -0.68 0.856 0.333 -0.991 0.068 0.963 -0.457 -0.778 0.772 Imaginary 0.814 -0.733 -0.517 0.943 0.136 -0.998 0.268 0.889 -0.628 -0.635 mistake -0.803 -0.421 0.973 0.027 -0.984 0.371 0.834 -0.709 -0.547 0.93 Imaginary 0.596 -0.907 -0.229 0.999 -0.176 -0.928 0.552 0.705 -0.837 -0.366 mistake -0.948 -0.121 0.997 -0.282 -0.883 0.639 0.624 -0.892 -0.263 0.998 Imaginary 0.32 -0.993 0.082 0.96 -0.47 -0.77 0.782 0.453 -0.964 -0.062

Weight per device of 10 × 10 planar array antenna (θ = 55 degrees, φ = 150 degrees). mistake One 0.28 -0.843 -0.953 0.421 0.989 0.133 -0.914 -0.646 0.552 Imaginary 0 0.96 0.538 -0.658 -0.907 0.15 0.991 0.406 -0.764 -0.834 mistake -0.611 -0.931 0.09 0.981 0.46 -0.723 -0.866 0.238 0.999 0.322 Imaginary 0.791 -0.365 -0.996 -0.193 0.888 0.691 -0.501 -0.971 -0.044 0.947 mistake -0.252 0.858 0.733 -0.447 -0.984 -0.104 0.925 0.623 -0.576 -0.946 Imaginary -0.968 -0.513 0.68 0.894 -0.178 -0.995 -0.379 0.782 0.817 -0.324 mistake 0.92 -0.118 -0.986 -0.434 0.743 0.85 -0.266 -0.999 -0.295 0.835 Imaginary 0.392 0.993 0.165 -0.901 -0.669 0.525 0.964 0.015 -0.956 -0.551 mistake -0.873 -0.713 0.473 0.978 0.076 -0.936 -0.6 0.6 0.936 -0.075 Imaginary 0.488 -0.701 -0.881 0.207 0.997 0.352 -0.8 -0.8 0.531 0.997 mistake 0.147 0.99 0.408 -0.762 -0.835 0.294 0.999 0.267 -0.85 -0.743 Imaginary -0.989 -0.136 0.913 0.648 -0.55 -0.956 0.014 0.964 0.526 -0.669 mistake 0.693 -0.498 -0.972 -0.047 0.946 0.977 -0.623 -0.926 0.104 0.984 Imaginary 0.721 0.867 -0.235 -0.999 -0.325 0.817 0.783 -0.378 -0.995 -0.18 mistake -0.994 -0.381 0.78 0.819 -0.321 -0.999 -0.239 0.865 0.724 -0.46 Imaginary 0.107 -0.924 -0.625 0.574 0.95 -0.043 -0.971 -0.501 0.69 0.888 mistake 0.523 0.965 0.018 -0.955 -0.553 0.645 0.914 -0.132 -0.989 -0.422 Imaginary -0.852 0.263 0.999 0.297 -0.833 -0.764 0.405 0.991 0.15 -0.907 mistake 0.354 -0.798 -0.802 0.349 0.997 0.21 -0.88 -0.703 0.485 0.975 Imaginary 0.935 0.602 -0.597 -0.937 0.072 0.978 0.476 -0.711 -0.874 0.221

The apparatus and method for adaptive control of an adaptive array antenna according to the present invention can simplify the mathematical calculation required for direction detection and reduce the number of channel elements. Therefore, the system can be implemented at a low cost in commercialization, In addition, since the values of the weights for eliminating interference signals are stored in advance in the look-up table, it is not necessary to obtain the weights for the signals varying with time, so that the calculation complexity and memory can be reduced, It is a useful invention that can eliminate the problem.

Claims (16)

In the adaptive array antenna, A signal processing means for extracting signals received by a predetermined number of array antenna elements not present on a single axis selected from the entire array antenna elements, respectively, as digital signals; Control means for calculating a correlation value of the extracted signals to obtain a correlation value, and detecting a reception angle by applying a corresponding algorithm; Extracting means for extracting a weight for each array antenna element from the detected reception angle; And And an output means for forming a beamforming pattern from the received signals and the weights, and outputting the signals, to the respective antenna elements. The method according to claim 1, Wherein the extracting means comprises: Approximating means for approximating the detected reception angle to a predetermined quantum value; And And storing means for outputting a weight corresponding to the inputted approximate value, wherein the weighted value is arithmetically operated on the approximated quantum value to store the weight for the array antenna element. 3. The method of claim 2, Wherein the approximating means outputs the sampled approximate direction information value by correlating the reception angle with a predetermined angle that is closest to the elevation angle and the azimuth angle. The method according to claim 1, Wherein the predetermined array antenna element is three antenna elements. The method according to claim 1, Wherein the number of the predetermined array antenna elements is one or more in order to detect a signal direction in a multipath environment. The method according to claim 1, Wherein the signal processing means comprises: A down converter for downconverting the received high frequency signal to an appropriate frequency band; A band-pass filter for filtering only a predetermined band of the down-converted signal; And And an analog / digital converter for converting the filtered signal into a digital signal. The method according to claim 1, Wherein the control means determines whether to update the reception angle or to retain the previous value by referring to the output signal level fed back from the output means and the correlation value. 8. The method of claim 7, Wherein the feedback output signal level is an absolute value of an output signal and is variable according to the algorithm. The method according to claim 1, Wherein said output means comprises: A multiplier for multiplying a reception signal of each of the array antennas by a weight outputted from the extraction means; And And an adder for adding all the outputs of the multipliers and outputting a beamforming signal. In an adaptive control method of an adaptive array antenna, A first step of extracting signals received by a predetermined number of array antenna elements not present on a single axis, which are selected from the entire array antenna elements, by digital signals; A second step of calculating a correlation value of the extracted signals to obtain a correlation value and detecting a reception angle by applying a corresponding algorithm; A third step of extracting a weight for each array antenna element from the detected reception angle; And And a fourth step of forming and outputting a beamforming pattern from the received signal and the weight value to each of the antenna elements. 11. The method of claim 10, A fifth step of determining whether an error of the beam forming pattern in the fourth step is large; And And if the error is large, adjusting the weight and repeating the fourth step. 11. The method of claim 10, In the first step, A first sub-step of down-converting the received high-frequency signal to an appropriate frequency band; A second sub-step of filtering only a predetermined band of the down-converted signal; And And a third sub-step of converting the filtered signal into a digital signal. 11. The method of claim 10, The second step comprises: A first sub-step of determining whether to update the received angle based on the output signal level of the fourth step and the correlation value; And And a second sub-step of maintaining the previous value when the reception angle is not updated. 11. The method of claim 10, In the third step, A first sub-step of approximating the detected reception angle to a predetermined quantum value; And And a second sub-step of reading a weight stored corresponding to the approximated quantum value. 15. The method of claim 14, Wherein the first sub-step is adapted to output the sampled approximate direction information value by correlating the reception angle with a previously set sampling angle closest to the azimuth angle. 11. The method of claim 10, In the fourth step, A first sub-step of multiplying the reception signal of each of the array antennas by the weights output in the fourth step, respectively; And And outputting a beamforming signal by adding all the outputs of the first sub-steps.