Co-location MIMO radar multi-target tracking resource optimal allocation method for angular glint noise scene

Abstract

The invention discloses a co-location MIMO radar multi-target tracking resource optimal allocation method for an angular glint noise scene. The method comprises the following steps of: 1, estimating the motion state of a target through employing a robust square root volume particle filtering algorithm according to the characteristics of angular glint noise; 2, predicting PC-CRLB at the next moment according to target motion state estimation information, and constructing a non-convex optimization model about power and broadband joint allocation, namely a power-bandwidth joint optimization model; and 3, converting the non-convex optimization model into a convex optimization model by using a convex relaxation and cyclic minimization method, solving the convex optimization model through an SDP algorithm and a Frank-Wolfe algorithm, and finally feeding back a solving result to a radar transmitter to guide resource allocation in a target tracking process at the next moment, and thus, constructing a co-location MIMO radar transmission resource adaptive allocation mechanism. The algorithm provided by the invention can completely ensure the stability and timeliness requirements of a resource allocation task.

Description

technical field [0001] The invention belongs to the technical field of resource optimization allocation, and in particular relates to a method for optimal allocation of co-site MIMO radar multi-target tracking resources facing an angular flicker noise scene. Background technique [0002] Co-located multiple-input and multiple-output (MIMO) radar has good waveform diversity gain, which can effectively detect and track weak targets. In recent years, it has become an important topic in the field of MIMO radar resource allocation to establish a closed-loop feedback loop between the receiver and the transmitter in combination with cognitive radar technology to realize adaptive allocation of transmission resources. When the radar tracks complex extended targets such as airplanes and ships, the interaction between different phase scattering points will lead to distortion of the phase of the received echo and angular scintillation. Angular flicker noise is the inherent angle measur...

AI Technical Summary

Problems solved by technology

Under angular flicker noise, radar resource allocation tasks face greater challenges due to the increased tracking difficulty

[0003] There are some deficiencies in the existing research on MIMO radar resource allocation: ① Existing literature focuses on the configuration of transmit power, and does not conduct in-depth research on the optimal allocation of other transmit resources including effective bandwidth; ② Existing resources Most of the allocation research is carried out under ideal Gaussian noise, while the actual measurement noise is often non-Gaussian; ③The existing optimization index used to guide the allocation of target tracking resources is usually PCRLB, and PCRLB is not associated with the current measurement information, and cannot Accurately reflects object tracking performance under non-ideal conditions

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