CN114442082A - Variable residence time length target tracking method based on radiation source interception parameters - Google Patents
Variable residence time length target tracking method based on radiation source interception parameters Download PDFInfo
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- 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
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- 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
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Abstract
The invention provides a variable residence time target tracking method based on radiation source interception parameters, which is used for solving the problems of large time resource consumption and easy target loss in the radiation source tracking process of a passive radar. Acquiring interception parameters of a radiation source through long-term residence, and performing refined tracking residence according to the interception parameters; when the target is intercepted continuously for multiple times, the standard deviation and the maximum deviation of the scanning period of the radiation source are obtained, and the minimum residence time which meets the requirement of 100% interception of the next residence is calculated; tracking and residing once with minimum residing time length in each target updating period from the next residing, and calculating the next residing time length by adopting an N-time interception sliding window method to realize variable residing time length target tracking; if the target is out of tracking, restarting the long-term residence, and repeating the process to realize the re-interception of the target. The method can reduce the waste of tracking resources and improve the tracking stability, and belongs to the technical field of passive phased array radar radiation source tracking.
Description
Technical Field
The invention belongs to the technical field of passive phased array radar radiation source tracking.
Background
After a target signal is intercepted by the passive phased array radar through the search of a monitoring airspace, the passive phased array radar is crucial to the stable tracking of a radiation source target, and the radiation source target to be tracked is often a combat object of the passive radar, so that the passive radar is greatly threatened. The target tracking algorithm with reasonable design ensures that the beam residence can complete the stable tracking of the radiation source target by using as little time resource as possible, and has important significance for improving the combat performance of the passive phased array radar.
Most of the existing passive phased array radar target tracking algorithms are mainly researched aiming at the problem of multi-target tracking. A passive radar target detection, tracking and classification research study (Chinese academic thesis full-text database-engineering doctor academic thesis) in high forest introduces the idea of distributed multi-target tracking, provides a single-frequency network passive radar multi-target detection and tracking algorithm based on GCI fusion technology, and provides a passive radar combined multi-target detection, tracking and classification algorithm on the basis. Or the problem of space coverage is researched, and the patent 'a scanning mode self-adaptive adjustment method under a radar passive working mode' realizes the identification of the target occurrence region by accumulating the radiation intensity values intercepted by a key radiation source target in different angle ranges, so that the radar sector scanning center and the sector scanning range are self-adaptively adjusted. The time domain mainly focuses on researching the optimization allocation of radar searching and tracking time resources, the Sheishu paper 'research on passive phased array radar adaptive scheduling algorithm' (computer simulation), the algorithm designs an implementation framework of the passive adaptive scheduling algorithm according to the characteristics of passive interception and tracking, the algorithm processes of task priority evaluation, scheduling adaptive execution and the like of passive adaptive scheduling are mainly researched, the resources of passive phased array radar such as time frequency and the like can be optimized, the target discovery time is shortened, and the time utilization rate is improved. The target tracking mainly researches an angle-based tracking filtering algorithm, and the time domain provides accurate tracking parameters such as residence time, residence time and the like depending on data processing. The target scanning period in the thesis simulation scene is fixed and the motion rule is regular, so that a better effect is achieved. In an actual working environment, a passive radar is often much more complex to detect a target, and data processing cannot obtain accurate tracking parameters such as residence time and residence time. In summary, the existing time-domain tracking algorithm lacks the self-adaptive adjustment of tracking resident parameters according to the acquisition parameters, so as to improve the tracking stability or reduce the time consumption of the acquisition of the radiation source target.
With the wide application of phased array radars, the existing tracking method is difficult to meet the requirements.
Disclosure of Invention
In order to realize fine scheduling of tracking residence, the residence time is dynamically adjusted by continuously intercepting information acquired by a target, and the problems of overlarge time resource consumption and easy target loss under the condition of simultaneous scanning of a passive radar and a radiation source are solved.
The technical solution for realizing the purpose of the invention is as follows:
the passive phased array radar tracks a found target, firstly, acquiring interception parameters of a radiation source through long-term residence, and carrying out refined tracking residence according to the interception parameters: determining the center frequency of the dwell channel according to the frequency of the radiation source; determining whether the two area arrays need to reside at the edge of the array surface at present or not according to the position of a radiation source; determining whether to adopt azimuth encryption to reside or not according to the azimuth change of the radiation source and the minimum amplitude value of the radiation source; determining the central time of the next residence according to the scanning period of the radiation source and the current updating time of the radiation source: suppose the latest update time of the target is t0ms, scanning period tau ms, and the current time of resource scheduling is T0ms, then N exists, satisfying: t is t0+N×τ≥T0If N is the minimum value satisfying the condition, the dwell center time of the nth dwell is: t is t0And (N + N-1) multiplied by tau, and the residence time is set according to the radar scheduling time slice.
Furthermore, the acquisition of the interception parameters of the radiation source through long-time residence is performed, and the residence time T is determined according to the maximum scanning period T of the radar detection target and the radar scheduling time slice p, namely T is 2 × T + p.
Further, the performing refined tracking resident according to the interception parameter includes:
determining the center frequency of the resident channel according to the frequency of the radiation source;
determining whether the two area arrays need to reside at the edge of the array surface at present or not according to the position of a radiation source;
determining whether to adopt azimuth encryption to reside or not according to the azimuth change of the radiation source and the minimum amplitude value of the radiation source;
determining the central time of the next dwell according to the radiation source scanning period and the current radiation source updating time, and assuming the latest target updating time as t0ms, scanning period tau ms, and the current time of resource scheduling is T0ms, then N exists, satisfying: t is t0+N×τ≥T0And N is the minimum value meeting the condition, and the residence center time of the nth residence is as follows: t is t0And (N + N-1) multiplied by tau, and the residence time is set according to the radar scheduling time slice.
Further, after the targets are continuously intercepted for multiple times, the minimum residence time t meeting 100% interception of next residence is calculatedHIf the standard deviation δ of the scanning period and the maximum deviation Δ of the scanning period are assumed, and the scanning period is τ, N exists, and satisfies: NxT ≧ Ts，TsFor the target update period, N takes the minimum value that satisfies the condition, then: t is tHN × max (Δ, 3 × δ); and calculating the next residence time length by adopting an N-time interception sliding window method from the next residence.
Further, assuming that the scanning period is τ and the current radiation source update time is t, N exists, and satisfies: NxT ≧ Ts，TsFor the target update period, N takes the minimum value that satisfies the condition, then the center time of the next dwell: t is tN＝t+N×τ。
Further, the calculating the residence time by using the N-time acquisition sliding window method includes: suppose the last intercept center time is tnThe current interception center time is tmFirst N-1 times of acquisition scan period is tau1～τN-1If the average value is tau, then the scanning period tau is intercepted this timeN＝(tm-tn) /M wherein
From the last N scanning periods tau1～τNCalculating the standard deviation and the maximum deviation of the scanning period and obtaining the minimum dwell time t according to the method of claim 4H。
If the target is out of tracking, restarting the acquisition of the interception parameters of the radiation source for long-term residence to realize the reacquisition of the target, and completing the calculation of the minimum residence time again to realize the target tracking with variable residence time.
Compared with the prior art, the method has the following remarkable advantages:
acquiring interception parameters of a radiation source through long-term residence, realizing fine scheduling of tracking residence, ensuring multiple effective interception of a target in an initial tracking stage, and providing support for calculating minimum residence time in subsequent steps; and after the target is intercepted for N times continuously, acquiring the standard deviation and the maximum deviation of the scanning period of the radiation source, calculating the minimum residence time which meets 100% interception of the next residence, and calculating the residence time by adopting an N-time interception sliding window method in the subsequent residence so as to realize the target tracking with variable residence time. The invention aims to provide a variable residence time target tracking method based on radiation source interception parameters. The invention can solve the problems of large time resource consumption and unstable target tracking under the condition of simultaneous scanning of the passive radar and the radiation source.
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FIG. 1 is a flow chart of an implementation of the present invention.
Fig. 2 is a flow chart of closed loop control of signal sorting and resource scheduling.
Fig. 3 is a flowchart of minimum dwell time calculation.
Detailed Description
The invention will be further explained with reference to the drawings.
The invention researches and improves the target tracking stability of the passive phased array radar and reduces the resource waste based on the interception parameters of the radiation source. The method and the device acquire the interception parameters of the radiation source through long-term residence, and realize multiple effective interception of the target in the initial tracking stage by adopting refined tracking residence. After the target is intercepted for N times continuously, the standard deviation and the maximum deviation of the scanning period of the radiation source are obtained, the minimum residence time which meets 100% interception of the next residence is calculated, the residence time is calculated by adopting an intercepting sliding window method for N times in the subsequent residence, the target tracking with variable residence time is realized, and 10 is taken as N in the embodiment.
Referring to fig. 1, the process of the embodiment includes the following steps:
1) after the target is found through searching, the target to be tracked is set through display and control, and the batch number is sent to signal sorting;
2) the signal sorting is used for extracting tracking target parameters according to the batch numbers and generating key target resource applications;
3) the equipment scheduling receives a key target resource application, and allocates one-time long-time residence for acquiring interception parameters when the application parameters are judged to reside for the first time; the residence time T is determined according to the maximum scanning period T of the radar detection target and a radar scheduling time slice p, namely T is 2T + p;
4) the signal sorting software receives the long-resident PDW of the key target, calculates the scanning period and other interception parameters, and mainly comprises the following steps: the frequency center, the upper limit, the lower limit, the direction and the direction of the radiation source are changed, the latest key dwell updating time, the key setting time, the minimum amplitude of the radiation source and the scanning period of the radiation source are updated, and the parameters are filled into key target resource application;
5) the method comprises the following steps that equipment scheduling receives key target resource application, reads interception parameters, and carries out refined tracking residence according to the interception parameters, and mainly comprises the following steps: determining the center frequency of the resident channel according to the frequency of the radiation source; determining whether the two area arrays need to reside at the edge of the array surface at present or not according to the position of a radiation source; determining whether to adopt azimuth encryption to reside or not according to the azimuth change of the radiation source and the minimum amplitude value of the radiation source; determining the central time of the next residence according to the radiation source scanning period and the current radiation source updating time; the residence time is set to be 10 times of a radar scheduling time slice;
6) starting equipment scheduling from the acquisition of a scanning cycle, and arranging 10 times of key residence by taking 10 times of radar scheduling time slices as residence time; suppose the latest update time of the target is t0(ms), scanning period tau (ms), and current time of resource scheduling is T0(ms), then N is present, satisfying: t is t0+N×τ≥T0And N is the minimum value meeting the condition, and the residence center time of the nth residence is as follows: t is t0Plus (N + N-1) x tau, N is 1-10;
7) the standard deviation of the scanning period and the maximum deviation of the scanning period are calculated by using 10 times of residence in the signal sorting process; filling the estimated standard deviation and the maximum deviation of the scanning period into corresponding fields of the key target resource application;
8) if the equipment scheduling software receives the effective standard deviation and the maximum deviation of the scanning period, the minimum residence time t meeting the 100 percent interception of the next residence is calculatedHIf the standard deviation δ of the scanning period and the maximum deviation Δ of the scanning period are assumed, and the scanning period is τ, N exists, and satisfies: NxT ≧ Ts，TsFor the target update period, N takes the minimum value that satisfies the condition, then: t is tHN × max (Δ, 3 × δ); determining a dwell time length tHThen, at intervals of the target update period, tHTracking the residence time;
9) the signal sorting is started from the first calculation of the standard deviation of the scanning period and the maximum deviation of the scanning period, and the residence time of the subsequent tracking residence is calculated by adopting a 10-time acquisition sliding window method; suppose the last intercept center time is tnThe current interception center time is tmThe first 9 times of acquisition scan period is tau1～τ9If the average value is tau, then the scanning period tau is intercepted this time10＝(tm-tn) N is, wherein
From the last 10 scan cycles tau1～τ10Calculating the standard deviation and the maximum deviation of the scanning period, and obtaining the minimum residence time t according to the method in the step 10)HAt intervals of the target update period, tHTracking the residence time; 11) for the duration of the minimum dwell tHDetermining whether interception performed according to a scanning period is invalid or not according to the latest key residence updating time, and if the interception is invalid, restarting long residence to acquire interception parameters; namely, if the difference between the latest updating time and the current scheduling time is larger than the target updating period TsThen restart from the next dwellThe method comprises the steps of firstly establishing a key target according to rules; and repeating the steps 4) -9) to realize refined tracking residence.
Claims (6)
1. A variable residence time target tracking method based on radiation source interception parameters is characterized in that:
the passive phased array radar tracks a found target, firstly, acquisition and capture parameters of a radiation source are acquired through long-term residence, and refined tracking residence is carried out according to the acquisition and capture parameters;
when the target is intercepted continuously for multiple times, the standard deviation and the maximum deviation of the scanning period of the radiation source are obtained, and the minimum residence time which meets the requirement of 100% interception of the next residence is calculated;
starting from the next residence, tracking and residing the minimum residence time once in each target updating period, and calculating the next residence time by adopting an N-time interception sliding window method to realize variable residence time target tracking;
if the target is out of tracking, restarting the long-term residence, and repeating the process to realize the re-interception of the target.
2. The radiation source interception parameter-based target tracking method with variable dwell time according to claim 1, characterized in that: and acquiring interception parameters of the radiation source through long-time residence, wherein the residence time T is determined according to the maximum scanning period T of the radar detection target and the radar scheduling time slice p, namely T is 2T + p.
3. The radiation source interception parameter-based target tracking method with variable dwell time according to claim 1, characterized in that: the tracking resident refined according to the interception parameter comprises the following steps:
determining the center frequency of the resident channel according to the frequency of the radiation source;
determining whether the two area arrays need to reside at the edge of the array surface at present or not according to the position of a radiation source;
determining whether to adopt azimuth encryption to reside or not according to the azimuth change of the radiation source and the minimum amplitude value of the radiation source;
determining the central time of the next residence according to the scanning period of the radiation source and the current radiation source updating time, and assuming that the latest target updating time is t0ms, scanning period tau ms, and the current time of resource scheduling is T0ms, then N exists, satisfying: t is t0+N×τ≥T0And N is the minimum value meeting the condition, and the residence center time of the nth residence is as follows: t is t0And (N + N-1) multiplied by tau, and the residence time is set according to the radar scheduling time slice.
4. The radiation source interception parameter-based target tracking method with variable dwell time according to claim 1, characterized in that: after continuously intercepting the target for multiple times, calculating the minimum residence time t meeting 100 percent interception of next residenceHAssuming that the standard deviation delta of the scanning period, the maximum deviation delta of the scanning period and the scanning period is tau, N exists and satisfies the following conditions: NxT ≧ Ts，TsFor the target update period, N takes the minimum value that satisfies the condition, then: t is tHN × max (Δ, 3 × δ); and calculating the next residence time length by adopting an N-time interception sliding window method from the next residence.
5. The radiation source interception parameter-based target tracking method with variable dwell time according to claim 3, characterized in that: assuming that the scanning period is tau and the current radiation source updating time is t, N exists, and the following conditions are met: NxT ≧ Ts，TsFor the target update period, N takes the minimum value that satisfies the condition, then the center time of the next dwell: t is tN＝t+N×τ。
6. The radiation source interception parameter-based target tracking method with variable dwell time according to claim 4, characterized in that: the step of calculating the residence time by adopting the N times of interception sliding window method comprises the following steps: suppose the last intercept center time is tnThe current interception center time is tmFirst N-1 times of acquisition scan period is tau1～τN-1If the average value is tau, then the scanning period tau is intercepted this timeN＝(tm-tn) /M wherein
From the last N scanning periods tau1～τNCalculating the standard deviation and the maximum deviation of the scanning period and obtaining the minimum dwell time t according to the method of claim 4H。
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