CN114817675A - Target fast searching method using wide area random sparse array wave beam side lobe characteristics - Google Patents
Target fast searching method using wide area random sparse array wave beam side lobe characteristics Download PDFInfo
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Abstract
The invention relates to the field of target airspace quick search, discloses a target quick search method by utilizing wide-area random sparse array wave beam side lobe characteristics, and solves the problem of quick positioning of a space target. The realization process is as follows: 1. determining basic parameters of a wide-area random sparse array system; 2. carrying out local large-range receiving weighted scanning to obtain an energy intensity distribution matrix; 3. acquiring a maximum value in the energy intensity distribution matrix and a corresponding beam forming point; 4. carrying out small-range fine receiving beam scanning by taking a beam synthesis point as a center; 5. the position where the target exists is reduced from a full airspace to a region which points to the maximum value of the 4 th step and is larger than the maximum value of the threshold sidelobe; 6. and (5) repeating the step 2-5, taking intersection of all the maximum value areas until a single side lobe area is reserved, and finishing the quick target search. The invention comprehensively considers the energy distribution characteristic of the wide-area random sparse array, determines the pointing direction through large-range and small-range scanning, reduces the target to the maximum area of the sidelobe on the synthetic beam and realizes the quick search of the target.
Description
Technical Field
The invention relates to the field of target airspace quick search, in particular to a target quick search method suitable for a wide-area random sparse array.
Background
When the airspace search is implemented on a radar system with a node wide area sparsely arranged, a detection airspace is basically located in a near-field range, so the detection airspace is divided by adopting an azimuth-elevation-distance dimension for scanning, and a direction corresponding to the maximum receiving power is obtained by utilizing a traditional beam forming method. However, at this time, the aperture of the wide-area sparse array is extremely large, and the beam width is extremely narrow, so that the number of excessive scanning points makes the calculation complicated, and the positioning is slow. It is desirable to provide a fast target search method to narrow the range in which targets may be located.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method for quickly searching a target by utilizing the sidelobe characteristics of a wide-area random sparse array beam, so as to avoid the defects in the background. The invention fully considers the rapid positioning requirement of the target and the characteristics of dense sidelobe distribution and extremely narrow main lobe of the sparse array synthesized beam, rapidly positions the target in a sidelobe area meeting the threshold requirement through beam sidelobe scanning, and reduces the search range.
In order to achieve the purpose, the invention adopts the technical scheme that:
a target fast searching method utilizing wide area random sparse array wave beam sidelobe characteristics comprises the following steps:
the method comprises the steps of firstly, building a simulation scene, and determining basic parameters of a wide-area random sparse array detection system, wherein the basic parameters comprise the number of system nodes, the node distribution and the working frequency;
secondly, based on the basic parameters determined in the first step, carrying out local large-range square region receiving weighted scanning on the wide-area random sparse array receiving signals according to a set scanning interval to obtain a square airspace energy intensity distribution matrix, wherein each value in the matrix corresponds to a beam forming point;
selecting the maximum value in the square airspace energy intensity distribution matrix, wherein the beam forming point corresponding to the maximum value is P 1c ；
Step four, synthesizing the point P by the beam 1c As the center, the small-range fine receiving beam scanning is carried out according to the set scanning interval and the scanning range of 1 time of the beam width to obtain a small-range energy intensity distribution matrix, and the beam synthesis point corresponding to the maximum value in the matrix is P 1x ；
Step five, reducing the possible position range of the target from full airspace to wide-area random sparse array beam pointing P 1x The maximum value of the side lobe is larger than the area F of the threshold SL1 Wherein the threshold is determined by the array parameters and the range of the local large-scale square region receiving weighted scanning;
and step six, reselecting the scanning area, returning to the step two until the intersection of the areas where all the sidelobe maxima are larger than the threshold is only a single sidelobe area, and completing target positioning.
Therefore, the target fast search by utilizing the wide-area random sparse array beam sidelobe characteristics is completed.
Compared with the background technology, the invention has the following beneficial effects:
the invention comprehensively considers the requirements of extremely narrow wide-area random sparse array beam width, dense sidelobe distribution and quick target positioning, can quickly reduce the target position range through the sidelobe positioning of the energy field, designs the coarse and fine precision scanning of the synthetic point to determine the position of the coherent synthetic point, and further reduces the target position range to the area where the maximum sidelobe value meeting a certain threshold is located.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Fig. 2 is a node distribution diagram of the wide-area random sparse array according to the embodiment of the present invention.
Fig. 3 is an energy field distribution diagram of the wide area random sparse array first fine scanning extracted peak point as a beam forming point according to the embodiment of the invention.
Fig. 4 is an energy field distribution diagram of the second fine scanning of the wide area random sparse array as a beam forming point according to the embodiment of the invention.
Fig. 5 is a diagram of a fast search and location result according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the following embodiments.
As shown in fig. 1, a method for fast searching for a target by using a sidelobe feature of a wide-area random sparse array beam specifically includes the following steps:
the method comprises the steps of firstly, building a simulation scene, determining basic parameters of a working system of a target fast searching method based on wide-area random sparse array beam sidelobe characteristics, wherein the system comprises the number of transmitting radars, the number of receiving radars and the working frequency of the radars on the ground, defining a global coordinate system of the system as an ECEF coordinate system, defining local coordinate systems of the transmitting radars and the receiving radars, and assuming that the positions, postures and signal radiation directivities of the transmitting radars and the receiving radars are kept constant. Defining the number of antenna elements contained in a wide area random sparse array system as 100, wherein 100 array elements are randomly distributed in a region range of 10 multiplied by 10km, a wide area random sparse array element distribution diagram is shown in figure 2, and simultaneously defining the working frequency of the system as f =1.3 GHz;
secondly, designing an airspace scanning scheme, carrying out local large-range square region receiving weighted scanning on the wide-area random sparse array receiving signals according to the set scanning interval based on the determined basic parameters in the first step, wherein the scanning intervals of the initial scanning azimuth angle and the pitch angle are both 0.01 degrees, the scanning center polar coordinates are (-0.8 degrees, 0.2 degrees and 300 km), the number of scanning points is 100 multiplied by 100, and the square airspace energy intensity distribution matrix M is obtained 1 Each value in the matrix corresponds to a beamforming point.
The received signal weighted scan matrix calculation process is as follows:
and for the weight vector of any synthesized beam spot, namely the signal steering vector under the corresponding beam synthesis spot, the weight vectors of all the beam synthesis spots form a weight vector set.
Therefore, the square space domain energy intensity distribution matrix M after weighted summation of the theoretical echo signals corresponding to the coherent synthetic points under different positions under the condition of rough scanning and the weight vector set can be obtained 1 。
Step three, selecting an energy intensity distribution matrix M 1 Is P, the beam forming point corresponding to the maximum value is P 1c 。
Step four, at this time, the point P is synthesized by the beam 1c Carrying out small-range fine receiving beam scanning as the center, wherein the scanning range is 1 time of the beam width, the scanning interval of the azimuth angle and the pitch angle is 0.0001 degree, and obtaining a small-range energy intensity distribution matrix M 2 The maximum value in the matrix corresponds to the beam forming point P 1x 。
Step five, reducing the position range of the target which possibly exists from full airspace to wide-area random sparse array beam B 1 Point of direction P 1x The maximum value of the side lobe is larger than the area F of the threshold SLi And defines the side lobe area where the maximum of the side lobe is located to be greater than the threshold by-10 dB, the side lobe area where the target may be located is shown in fig. 3. The threshold is determined by array parameters and the range of receiving weighted scanning in a local large-range square area, wherein i is the scanning frequency and is initially 1;
step six, reselecting a scanning area, repeating the step two to the step five, repeatedly obtaining a new prior target existing area each time to generate a synthesized beam, and repeatedly obtaining an area F where the side lobe maximum value is larger than the threshold SLi As shown in fig. 4, the intersection F is taken from the area where all the obtained sidelobe maxima are greater than the threshold SL1 ∩F SL2 ……∩F SLn N is the total number of repeated scans; the target is in this region until the resulting intersection region is only a single side lobe region as shown in fig. 5, achieving target localization.
Claims (1)
1. A target fast searching method utilizing wide-area random sparse array beam sidelobe characteristics is characterized by comprising the following steps:
the method comprises the steps of firstly, building a simulation scene, and determining basic parameters of a wide-area random sparse array detection system, wherein the basic parameters comprise the number of system nodes, the node distribution and the working frequency;
secondly, based on the basic parameters determined in the first step, carrying out local large-range square region receiving weighted scanning on the wide-area random sparse array receiving signals according to a set scanning interval to obtain a square airspace energy intensity distribution matrix, wherein each value in the matrix corresponds to a beam forming point;
selecting the maximum value in the square airspace energy intensity distribution matrix, wherein the beam forming point corresponding to the maximum value is P 1c ；
Step four, synthesizing the point P by the beam 1c As the center, the small-range fine receiving beam scanning is carried out according to the set scanning interval and the scanning range of 1 time of the beam width to obtain a small-range energy intensity distribution matrix, and the beam synthesis point corresponding to the maximum value in the matrix is P 1x ；
Step five, reducing the possible position range of the target from full airspace to wide-area random sparse array beam pointing P 1x The maximum value of the side lobe is larger than the area F of the threshold SL1 Wherein the threshold is determined by the array parameters and the range of the local large-scale square region receiving weighted scanning;
and step six, reselecting the scanning area, returning to the step two until the intersection of the areas where all the sidelobe maxima are larger than the threshold is only a single sidelobe area, and completing target positioning.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117406191A (en) * | 2023-10-23 | 2024-01-16 | 中国电子科技集团公司第五十四研究所 | Wide area sparse array node selection method based on improved binary particle swarm optimization |
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