Joint resource optimization method for multi-target position estimation in distributed MIMO radar system

A radar system and joint optimization technology, applied in the field of MIMO radar, can solve problems such as limited reference value and lack of quantitative analysis of the system

Active Publication Date: 2018-04-20
THE PLA INFORMATION ENG UNIV
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Problems solved by technology

In fact, the number of receiving array elements has a direct impact on the computational complexity of the system. At the same time, the existing research

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  • Joint resource optimization method for multi-target position estimation in distributed MIMO radar system
  • Joint resource optimization method for multi-target position estimation in distributed MIMO radar system
  • Joint resource optimization method for multi-target position estimation in distributed MIMO radar system

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Embodiment 2

[0047] Embodiment two, see figure 2 As shown, a resource joint allocation method for multi-target position estimation in a distributed MIMO radar system specifically includes the following steps:

[0048] Step 1: Deduce the target position estimation accuracy expression, and take the maximum value of the multi-target position estimation error as the overall position estimation accuracy of the system.

[0049] Assume that the distributed MIMO radar system contains M transmitting radars and N receiving radars, each of which is a single-antenna radar, and the distance between the radars is large enough. In a two-dimensional plane, the coordinates of the transmitting radar are The receiving radar coordinates are Radar transmits quadrature signals, low-pass equivalent to s m (t), m=1, L, M, satisfy T m is the duration of the m-th radar transmitting signal. The transmit power vector of the radar is p k =[p 1,k ,p 2,k ,L,p M,k ] T ,p m,k =E m f r ,E m is the energy...

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Abstract

The invention relates to a joint resource optimization method for multi-target position estimation in a distributed MIMO radar system. The joint resource optimization method comprises: a target is designated and a minimized maximum value of a multi-target position estimation error is used as a target function; under the circumstances that the total numbers of the transmitting and receiving array elements are limited and the transmitted power is given, a resource optimization model of combination of transmitting and receiving array element selection and power allocation is established; and on the basis of a heuristic search algorithm and a continuous parameter convex approximation algorithm, a resource joint allocation algorithm based on cycle minimization is proposed to solve a hybrid Boolean type joint optimization problem to obtain a joint resource allocation result. According to the invention, the energy relationship between system resources and tracking capabilities is analyzed quantitatively; compared with the array element number, the influence on the system performance by the transmitted power becomes obvious and the influence on the target tracking precision and number by the system resources is displayed, so that the computing load of the system is reduced, the good system performance is realized, and the overall multi-target tracking accuracy is improved. The joint resource optimization method has the great practical application value.

Description

technical field [0001] The invention belongs to the technical field of MIMO radar, in particular to a resource joint optimization method for multi-target position estimation in a distributed MIMO radar system. Background technique [0002] Distributed MIMO radar adopts a wide-distributed antenna layout structure, and its spatial multi-channel characteristics make it have powerful target detection and recognition capabilities, which has become a research hotspot in the field of radar. Radar resource management is an important part of military resource management, and it is also the key to give full play to the advantages of MIMO radar systems. Therefore, the resource optimization problem of distributed MIMO radar is worth studying. The joint optimization of radar system resources is conducive to better system performance. Therefore, this paper conducts joint optimization of radar resources from the perspective of improving the position estimation accuracy of distributed MIMO...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/411
Inventor 陈松宋喜玉郑娜娥任修坤李海文张靖志高留洋
Owner THE PLA INFORMATION ENG UNIV
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