MIMO radar waveform optimization method based on target prior information

Abstract

The invention discloses a MIMO radar waveform optimization method, used to improve parameter estimation performance of a MIMO radar system under a condition that target prior information exists in a clutter scene. Implement method thereof comprises: firstly, establishing a MIMO radar signal model, and deriving Cramer-Rao bound (CRB) of an unknown parameter based on the model; based on a Trace-Opt criterion, minimizing trace of the CRB, establishing a waveform optimization model; and based on a diagonal loading (DL) method, relaxing a nonlinear optimization problem to a semi-definite programming (SDP) problem, to obtain efficient solution of the optimization problem, so as to improve parameter estimation performance of the system. Compared with an uncorrelated transmitted waveform and a non-prior scene, the method can obviously improve system parameter estimation performance.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a MIMO radar waveform optimization method based on target prior information in a signal-dependent noise environment in the waveform optimization technical field. Background technique [0002] In recent years, multiple-input multiple-output (MIMO) technology has attracted extensive attention and research in the fields of communication and radar, and waveform optimization is an important research topic of MIMO radar. MIMO radar uses multiple antennas for signal transmission and multiple antennas for reception at the receiving end, which is the so-called waveform diversity. According to the distance between the antennas, MIMO radar is divided into distributed MIMO radar and centralized MIMO radar. The former makes use of the wide geographical distribution of multiple antennas, making the signals of each receiving antenna independent of each other to obtain diversity gain. In...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned existing technologies, and proposes a MIMO radar waveform optimization method based on target prior information in a signal-dependent noise environment. The method solves the waveform optimization problem by a new diagonal loading technology to alleviate System sensitivity issues caused by estimation errors and parameter uncertainties, thereby improving worst-case MIMO radar waveform optimization parameter estimation performance

Since this problem is a highly complex nonlinear problem with respect to the waveform covariance matrix, it cannot be quickly and effectively solved by traditional methods

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