CN110531320B - Space-time-frequency three-dimensional combined clutter suppression method for low-speed small radar - Google Patents
Space-time-frequency three-dimensional combined clutter suppression method for low-speed small radar Download PDFInfo
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- CN110531320B CN110531320B CN201810500947.7A CN201810500947A CN110531320B CN 110531320 B CN110531320 B CN 110531320B CN 201810500947 A CN201810500947 A CN 201810500947A CN 110531320 B CN110531320 B CN 110531320B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/023—Interference mitigation, e.g. reducing or avoiding non-intentional interference with other HF-transmitters, base station transmitters for mobile communication or other radar systems, e.g. using electro-magnetic interference [EMI] reduction techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/414—Discriminating targets with respect to background clutter
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
A low-speed small radar space-time-frequency three-dimensional combined clutter suppression method is disclosed. The clutter suppression method consists of three parts, namely airspace clutter suppression, frequency domain elimination of stationary targets and a time average false alarm algorithm. Firstly, reducing the influence of ground echo on radar detection performance by reducing the energy of a local direction transmitting signal, and performing airspace clutter suppression; then, the signal after the space domain clutter suppression is subjected to frequency domain averaging and DC removal through a time axis, and the influence of a static target is removed; and finally, carrying out an average false alarm algorithm on the suspected target to be detected in a time domain so as to detect and output target information. And the detection performance of the radar is greatly improved by carrying out combined clutter suppression in space-time-frequency three dimensions.
Description
Technical Field
The invention belongs to a clutter suppression algorithm, in particular to a clutter suppression algorithm performed in a space-time frequency domain in a phased array radar.
Background
For low-speed small radars, low-altitude slow small target detection has been a challenge. The small target with slow space exists in space, time and Doppler dimensions, so that three-dimensional filtering can be performed on the small target to enhance the signal to noise ratio and improve the detection probability. The traditional radar basically processes three-dimensional signal processing independently without a unified filtering algorithm, so that the performance of the radar is not completely released.
Disclosure of Invention
The invention aims to provide a space-time-frequency three-dimensional combined clutter suppression method for a low-speed small radar, which can reduce the influence of ground clutter on a detection target of the low-speed small radar, improve the detection probability and further improve the overall performance of the radar.
The technical solution for realizing the purpose of the invention is as follows: a low-slow small radar space-time frequency three-dimensional combined clutter suppression method mainly comprises three parts,
spatial filtering: firstly, an L0 algorithm is utilized to obtain an ideal transmitting beam control weighting factor by inhibiting the transmitting energy in the direction of a target while keeping the transmitting energy in the direction of the target unchanged; secondly, considering the maximization of the energy utilization efficiency of the transmitting channel, normalizing the ideal weighting factor to obtain a corrected weighting factor; finally, comparing the obtained product with the emission beam formed by the ideal weighting factors under a certain judgment criterion, if the width of the main lobe is widened to be less than or equal to P, the level of the auxiliary lobe is raised to be less than or equal to Q, the emission energy loss of the main lobe is less than or equal to T, obtaining the needed weighting factors, and if the obtained product does not meet the judgment criterion, repeating the steps until the obtained product meets the judgment criterion, and obtaining the weighting factors needed by the invention.
And (3) frequency domain filtering: firstly, averaging the signals subjected to airspace clutter suppression on a time axis, then subtracting the average value from an original signal to obtain a signal with direct current influence removed, secondly, carrying out Hamming window windowing operation on the signal with direct current influence removed, and finally carrying out FFT operation on the windowed signal to obtain an echo signal with stationary target eliminated on a frequency domain.
Time domain filtering: firstly, carrying out similar energy accumulation on the frequency domain signals subjected to FFT operation in the time domain, namely, a time-continuous frequency domain target, if the frequency domain points are consistent, accumulating the energy until the frequency domain points are different, then averaging the frequency domain points with a plurality of clutter continuous in time, comparing the frequency domain points with the clutter continuous in time, and if the target energy is greater than N times of the average clutter, determining the target as the target, otherwise, determining the target as the false target.
Compared with the prior art, the invention has the remarkable advantages that: the invention can filter the target echo in space-time-frequency three-dimensions, and the combination of three-dimensional spatial combined filtering greatly improves the detection probability of the system and the overall performance of the radar.
Drawings
FIG. 1 is a three-dimensional joint clutter suppression flow chart.
Fig. 2 is a spatial filtering flow chart.
Fig. 3 is a frequency domain filtering flow chart.
Fig. 4 is a time domain filtering flow chart.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be described in further detail below with reference to the accompanying drawings.
The invention discloses a low-speed small radar space-time-frequency three-dimensional combined clutter suppression method, and the specific flow of the method is shown in figure 1.
Spatial filtering: the airspace filtering flow is shown as figure 2, firstly, an L0 algorithm is utilized to obtain an ideal transmitting beam control weighting factor by inhibiting the transmitting energy of the opposite direction while keeping the transmitting energy of the opposite direction unchanged; secondly, considering the maximization of the energy utilization efficiency of the transmitting channel, normalizing the ideal weighting factor to obtain a corrected weighting factor; finally, comparing the obtained product with a transmission beam formed by ideal weighting factors under a certain judgment criterion, if the judgment criterion is met, the main lobe width is widened to be less than or equal to P, P=3%, the auxiliary lobe level is raised to be less than or equal to Q, Q=5%, the main lobe transmission energy loss is less than or equal to T, T=1 dB, and if the main lobe transmission energy loss is not met, repeating the steps until the judgment criterion is met, thereby obtaining the weighting factors required by the invention.
And (3) frequency domain filtering: the frequency domain filtering flow is shown in fig. 3, firstly, the signals after airspace clutter suppression are averaged on a time axis, then the signals with direct current influence removed are obtained by subtracting the average value from the original signals, secondly, the signals with direct current influence removed are subjected to Hamming window windowing operation, finally, the windowed signals are subjected to FFT operation, and echo signals for eliminating static targets are obtained on the frequency domain.
Time domain filtering: as shown in fig. 4, the time-domain filtering flow is that firstly, similar energy accumulation is performed on the frequency domain signal after FFT operation in the time domain, namely, a time-continuous frequency domain target is performed, if the frequency domain points are consistent, the energy is accumulated until the frequency domain points are different, then, the time-domain filtering flow is compared with a plurality of continuous clutter in time, generally 16, 32 or 64 clutter before and after, and if the target energy is greater than N times of the average clutter, the value of N is generally selected to be 8, namely, the signal-to-noise ratio of radar detection is 12dB, the target is considered as the target, otherwise, the target is considered as the false target.
Claims (1)
1. A low-speed small radar space-time-frequency three-dimensional combined clutter suppression method is characterized by comprising the following steps of: the clutter suppression method consists of three parts, namely airspace clutter suppression, static targets rejection in a frequency domain and a time average false alarm algorithm; firstly, obtaining a transmitting beam forming weight vector through an L0 norm and a constant modulus algorithm, and obtaining an ideal transmitting beam control weight factor by inhibiting the transmitting energy in the direction of a target while keeping the transmitting energy in the direction of the target unchanged; secondly, considering the maximization of the energy utilization efficiency of the transmitting channel, normalizing the ideal weighting factor to obtain a corrected weighting factor; finally, comparing the main lobe width widening less than or equal to P with an ideal weighting factor under a certain judgment criterion, if the main lobe width widening less than or equal to P is the widening percentage compared with the main lobe width widening, the auxiliary lobe level raising less than or equal to Q is the raising percentage compared with the main lobe level raising percentage, the main lobe emission energy loss less than or equal to T is the emission energy loss proportion compared with the main lobe in dB, obtaining a required weighting factor, and if the main lobe width widening less than or equal to P is not met, repeating the steps until the judgment criterion is met, and obtaining the required weighting factor; then, the signals subjected to airspace clutter suppression are averaged on a time axis, direct current is removed by a method of subtracting an average value from an original signal, and the influence of a static target is eliminated on a frequency domain through windowing; and finally, carrying out similar energy accumulation on a suspected target to be detected in a time domain, then carrying out an average false alarm algorithm, firstly carrying out similar energy accumulation on a frequency domain signal subjected to FFT operation in the time domain, namely, carrying out energy accumulation on a time-continuous frequency domain target, if the frequency domain points are consistent, carrying out energy accumulation until the frequency domain points are different, then comparing the frequency domain points with continuous clutter on a time axis, and if the target energy is greater than N times of the average clutter, considering the target as the target, and detecting and outputting target information.
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