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Power optimization method for multi-target position estimation of distributed MIMO radar system

A radar system and power optimization technology, applied in the field of MIMO radar, can solve the problems of large communication burden, difficult to solve, multi-transmission power and system processing complexity, so as to reduce the calculation amount of the system, improve the practical application value, and improve the resources. The effect of utilization

Active Publication Date: 2018-03-30
THE PLA INFORMATION ENG UNIV
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AI Technical Summary

Problems solved by technology

Behind the powerful performance of MIMO radar, there will also be system costs, including more transmit power and system processing complexity, and greater communication burden
However, these problems are not easy to solve in practical systems

Method used

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  • Power optimization method for multi-target position estimation of distributed MIMO radar system
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  • Power optimization method for multi-target position estimation of distributed MIMO radar system

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Embodiment 2

[0040] Embodiment 2, a power distribution method for multi-target position estimation in a distributed MIMO radar system, specifically includes the following steps:

[0041]Step 1: Deduce the target position estimation accuracy expression.

[0042] The distributed MIMO radar system contains M transmitting radars and N receiving radars, and the radar interval is large enough. In the Cartesian two-dimensional coordinate system, the coordinates of the transmitting radar are .. and the coordinates of the receiving radar are The low-pass equivalent formula of the radar transmitted orthogonal signal is .., satisfying T m is the duration of the m-th radar transmission signal. The time width of the radar transmitting signal is t=[t 1 ,t 2 ,L,t M ] T , the bandwidth is β=[β 1 ,β 2 ,L,β M ] T , the power is p=[p 1 ,p 2 ,L,p M ] T . There are Q moving targets, and the state vector of the qth target is Define the entire path from the m-th transmitting radar through the...

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Abstract

The invention relates to a power optimization method for multi-target position estimation of a distributed MIMO radar system. The method comprises the following steps of taking minimum radar system transmitting power as a target function, and establishing a transmitting power optimization model under the constraints of different position estimation accuracy requirements for multiple targets and anupper limit of radar transmitting power; loosening a non-convex optimization problem of power distribution to be a convex optimization problem through an SPCA algorithm, and solving an approximate solution of power distribution; and adopting a heuristic search algorithm to carry out further optimization on a power distribution result in order to obtain an optimal power distribution result. According to the method, the resource utilization rate can be maximized and the minimum power resources are consumed under the condition that the different position estimation requirements for multiple targets are met; less system consumption can be used, the resource utilization rate is improved while the calculation amount of the system is reduced; through controlling the target number and the position estimation precision requirement, the higher the target tracking precision requirement is, the more stable the performance is, and the more the number is, the more obvious the advantages are; and the method has better application value.

Description

technical field [0001] The invention belongs to the technical field of MIMO radar, in particular to a power optimization method for multi-target position estimation in a distributed MIMO radar system. Background technique [0002] The advantage of distributed MIMO space diversity improves the target detection and tracking performance of radar systems, and has attracted extensive attention from many scholars. Behind the powerful performance of MIMO radar, there will also be system costs, including more transmit power and system processing complexity, as well as a greater communication burden. However, these problems are not easy to solve in practical systems. When the radar system is in multi-task working mode, limited system resources need to be coordinated among different tasks. At this time, the power resources of the radar system for tracking tasks are limited. When the system works for a long time or the resource supply conditions are limited, the influence of radar po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0426G01S7/42
CPCG01S7/42H04B7/0426Y02D30/70
Inventor 任修坤宋喜玉吕品品郑娜娥田英华张龙柏婷
Owner THE PLA INFORMATION ENG UNIV
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