Fast algorithm for moving target localisation using FDA-MIMO radar

Abstract

Target localisation using frequency diverse array (FDA) has drawn much attention owing to the additional degree of freedom in the range dimension. However, the Doppler effect was often ignored in previous FDA works because of the stationary target assumption, and in contrast, even stationary target localisation could be of quite a high computational complexity. In this study, a method is proposed that can jointly estimate range, angle, and Doppler for FDA multiple-input-multiple-output radar with low computational complexity. First, Doppler is estimated independently by utilising unstructured maximum likelihood method. Next, traditional two-dimensional (2D) MUSIC is divided into multiple one-dimensional (1D) MUSIC to estimate the angle. Then substituting the estimated angle into the former 2D MUSIC results in a 1D searching over range dimension to get the range estimation. The advantage of the proposed method was verified by simulation results.

Keywords

• computational complexity
• direction-of-arrival estimation
• MIMO radar
• Doppler effect
• radar signal processing
• MIMO communication
• maximum likelihood estimation
• fast algorithm
• FDA-MIMO radar
• frequency diverse array
• range dimension
• Doppler effect
• previous FDA works
• stationary target assumption
• stationary target localisation
• high computational complexity
• FDA multiple-input-multiple-output radar
• low computational complexity
• maximum likelihood method
• two-dimensional MUSIC
• one-dimensional MUSIC
• estimated angle
• 2D MUSIC results
• range estimation