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Resource self-adaptive scheduling method for inverse synthetic aperture radar two-dimensional sparse imaging

An inverse synthetic aperture and sparse imaging technology, which is applied in the direction of radio wave reflection/re-radiation, utilization of re-radiation, and measurement devices, can solve problems such as lack of overall system performance and insufficient utilization of radar resources, and improve overall performance. , The effect of saving radar resources

Active Publication Date: 2019-03-12
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0005] None of the above-mentioned existing technologies considers the problem of rational resource allocation in a single radar for multi-target imaging tasks from the perspective of target azimuth and distance, resulting in insufficient utilization of radar resources and lack of overall system performance

Method used

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  • Resource self-adaptive scheduling method for inverse synthetic aperture radar two-dimensional sparse imaging
  • Resource self-adaptive scheduling method for inverse synthetic aperture radar two-dimensional sparse imaging
  • Resource self-adaptive scheduling method for inverse synthetic aperture radar two-dimensional sparse imaging

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Embodiment

[0079] Set the scheduling interval as T=1s, and the sub-pulse repetition frequency as F PRF =10kHz, then the total number of sub-pulses in the scheduling interval: P totall =T×F PRF =10000, suppose there are N in the scheduling interval T totall A target applies for an imaging task.

[0080] figure 1 A resource adaptive scheduling method for two-dimensional sparse imaging of inverse synthetic aperture radar is shown. On the basis of the radar's feature recognition of each target, the pulse resource demand of each target is calculated, and then according to the constraints selected by the radar Conditions determine the sub-pulse emission position that needs to be allocated for each target, and obtain echoes through alternate observation of the target, so as to complete the inverse synthetic aperture imaging task for multiple targets, including the following steps:

[0081] (1) The radar emits a small number of pulses to each target to estimate the flight parameters of the t...

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Abstract

The invention discloses a resource self-adaptive scheduling method for inverse synthetic aperture radar two-dimensional sparse imaging and relates to the technical field of phased array radar inversesynthetic aperture radar imaging. The method aims at solving the technical problem about how to reasonably allocate resources of a multi-target imaging task in a single radar from the aspects of target azimuths and target distances in order to improve the overall performance of a system. The method comprises the following steps of on the basis of characteristic cognition of each target by the radar, calculating the pulse resource demand of each target, further determining sub-pulse emission positions which need to be distributed for each target according to constraint conditions selected by the radar, and alternately observing the targets and acquiring target echo signals to complete the inverse synthetic aperture multi-target imaging task. According to the method, resource allocation whenthe single radar faces the targets can be achieved from the aspects of the target azimuths and target distances, the radar resources are saved, and the overall performance of the system is improved.

Description

technical field [0001] The invention relates to the technical field of phased array radar inverse synthetic aperture radar imaging, in particular to a resource adaptive scheduling method for two-dimensional sparse imaging of synthetic aperture radar. Background technique [0002] Due to the beam agility and beam adaptive capabilities of the array antenna, the multifunctional phased array radar can perform alternate observation tasks for multiple targets, and how to allocate tasks under resource constraints has a decisive impact on radar performance. In the prior art, most of the researches on the optimal scheduling strategy of phased array radar resources only consider how to optimize the performance of multi-target search and tracking under the conditions of limited time, spectrum, space, power and other resources, but rarely consider the imaging requirements Impact on scheduling policy. Therefore, in the optimal scheduling of phased array radar resources, if the observati...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/02
CPCG01S7/02G01S13/90G01S13/9064
Inventor 廖可非杜毅欧阳缮白钊铭李长树
Owner GUILIN UNIV OF ELECTRONIC TECH
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