Weighted average strategy-based distributed radar network multi-target positioning method

Abstract

The invention relates to a weighted average strategy-based distributed radar network multi-target positioning method. The method includes the following steps that: step a, M transmitters and N receivers are arranged in a distributed radar network and are widely distributed geographically and in time synchronization; the transmitters and the receivers are located in a two-dimensional plane, and the locations of the transmitters and the receivers are known; step b, parameter information such as target position and radar cross-section area is estimated through utilizing a target tracking algorithm, and objective functions to be optimized are constructed through a Cramer-Rao Bound-based variance decline function of transmitter sub sets; step c, a sub set of the transmitters is selected to maximize objective functions under the constraint of total power by using sub-module features of the objective functions to be optimized and a weighted average strategy-based sub set selection algorithm. According to the weighted average strategy-based distributed radar network multi-target positioning method of the invention, a weighted average strategy-based polynomial time algorithm complexity transmitter sub set selection algorithm having a performance guaranteeing function can be realized through utilizing the sub-module features of the objective functions to be optimized.

Description

technical field [0001] The invention relates to the field of radar information processing, in particular to a multi-target positioning method of a distributed radar network. Background technique [0002] The distributed radar network is composed of multiple radar sites widely distributed in the area, including: distributed multiple input multiple output (Multiple Input Multiple Output, MIMO) radar and multi-station radar system. Distributed MIMO radar was first proposed by Fishler et al. Compared with traditional radar, one of the main advantages of distributed MIMO radar is that the widely distributed transmitting / receiving antennas in the area can capture different sections of the target and provide information about the spatial scattering characteristics of the target. , which can avoid the scintillation of target scatter and thus have better performance in detecting low-observable targets, has received extensive attention. [0003] In a distributed radar network, the nu...

AI Technical Summary

Problems solved by technology

Since the knapsack problem is a typical NP-hard problem, the computational complexity increases exponentially, and its optimal solution can only be obtained through exhaustion

[0004] Although the existing technology has systematically studied the power allocation and transmitter and receiver selection problems in multi-radar systems, it does not use the structure of the objective function to be optimized and the feasible solution space. It has been verified to have good performance, but the lack of theoretical guarantees means that the algorithm performance may be very poor in some cases

In addition, it only studies the case where there is one target in the system, and there are often a large number of targets in the actual scene

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