Target location method based on distributed coherent process for meterwave MIMO (multiple-input multiple-output) radars

Abstract

The invention discloses a target location method based on the distributed coherent process for meterwave MIMO (multiple-input multiple-output) radars, which mainly solves the problem that meterwave radar detection precision is poor and includes steps: (1), setting a roughly estimated position of any of meterwave radars as a reference point and generating initial particles with equal weights around the reference point; (2), performing coherent process to echo data of independent transmitting-receiving paths at the reference point and writing the data in a system echo vector form; (3), updatingand normalizing the weights of the particles by the aid of the likelihood function; (4), weighting and summing the particles with updated weights so as to obtain the minimum mean square error estimation of target positions. The target location method based on the distributed coherent process for the meterwave MIMO radars can be used for meterwave radar systems with transmitting radar and receiving radar both static. Measurement precision of meterwave radars is improved, estimation performance to target positions in non-Gaussian-noise environments can be better, and operation in multi-dimensional target location is lowered.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a target positioning method based on distributed coherent processing MIMO radar in the technical field of ground-based radar. This method can be used to improve the measurement accuracy of meter-wave radar, realize the improvement of meter-wave radar from early warning of stealth targets to positioning of stealth targets, and is suitable for non-Gaussian noise environments, and compared with existing methods, it reduces amount of computation. Background technique [0002] At present, the rapid development of stealth technology poses severe challenges to strategic and tactical defense systems. In response to these threats, many countries are stepping up research on countermeasures. Because the wavelength of the meter wave radar is similar to the size of the aircraft, for example, the wingspan of the aircraft is roughly half of the wavelength, so that its emission cross-sect...

AI Technical Summary

Problems solved by technology

However, the maximum likelihood method requires multi-dimensional search when estimating multi-dimensional parameters, which requires a large amount of computation, and the likelihood function proposed in this paper is not suitable for non-Gaussian noise environments

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