FDA-MIMO radar detection method and system at unknown target speed

Abstract

The invention discloses an FDA-MIMO radar detection method and system at unknown target speed. The method comprises the steps that 1, constructing data matrixes, wherein the data matrixes comprise a to-be-detected data matrix, a training sample matrix and a signal transmitting-receiving steering vector; 2, constructing an intermediate variable according to the data matrix; 3, using the intermediate variable to construct a detection statistic; 4, determining a detection threshold according to the false alarm probability and the system dimension set by the system; 5, comparing the detection statistical magnitude with the detection threshold, and judging whether a target exists or not. According to the FDA-MIMO radar detection method designed by the invention, clutter suppression, signal accumulation and constant false alarm processing are integrally realized, so that an independent clutter suppression step and an independent constant false alarm processing step are not needed, the detection process is simplified, and better detection performance can be ensured while the complexity is reduced. The invention also provides a corresponding FDA-MIMO radar detection system when the target speed is unknown.

Description

technical field [0001] The invention belongs to the technical field of signal detection, and more specifically relates to an FDA-MIMO radar detection method and system when the target speed is unknown. Background technique [0002] Continuously improving target detection performance has always been the relentless pursuit of radar designers. To achieve this goal, it is necessary to mine as much information as is available. In recent years, two new system radars have received more and more attention from academia and industry, namely multiple-input multiple-output (MIMO) radar and frequency diversity array (FDA) radar. Compared with the traditional phased array radar, each antenna of the MIMO radar transmits an independent waveform, which realizes waveform diversity, thereby improving the degree of freedom of the system. It has a large equivalent array aperture, strong target parameter identification, and is difficult to be detected and interfered. , Weak target detection pe...

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Problems solved by technology

However, due to the high degree of freedom of the FDA-MIMO radar system, if the entire parameter space is searched one by one, the implementation complexity is too high

[0004] Literature L. Lan, A. Marino, A. Aubry, A. De Maio, G. Liao, J. Xu, and Y. Zhang, “GLRT-based adaptive target detection in FDA-MIMO radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 1, pp.597–613, 2021. Based on the generalized likelihood ratio (GLRT) criterion, an adaptive detection method for FDA-MIMO radar in unknown clutter is proposed. The detection method assumes The distance information of the target is unknown, and the distance information of the target is estimated by semi-definite regularization, discrete grid search and Newton method. However, this method is only based on one pulse data and does not consider the motion information of the target. In practical applications, it will inevitably bring performance loss

Literature R. Gui, W.-Q. Wang, and Z. Zheng, "Low-complexity GLRT for FDAradar without training data," Digital Signal Processing, vol. 107, p.102861, 2020. Based on the GLRT criterion, a suitable The detection method of FDA radar, however, the detection method does not utilize the training samples and the detection performance is limited

In addition, none of the above-mentioned literatures has obtained the detection threshold calculation method of the detector analysis, and the detection threshold is mainly obtained by Monte Carlo simulation. For a multi-channel radar system, the calculation amount is too high, especially when the system has a low probability of false alarm. under the circumstances

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