Improved Dimension-Reduced Structures of 3D-STAP on Nonstationary Clutter Suppression for Space-Based Early Warning Radar

Abstract

By introducing degrees of freedom (DOFs) in elevation, the elevation-azimuth-Doppler three-dimensional space–time adaptive processing (3D-STAP) methods have better performance when suppressing the nonstationary clutter caused by the Earth’s rotation in space-based early warning radar (SBEWR). However, the 3D-STAP methods use much more auxiliary beams, leading to greater demands on the training samples and heavier computational burdens than the conventional STAP methods. To solve this problem, the ideas of sum–difference beams, generalized multiple beams and Doppler-domain localization are applied here, and three improved dimension-reduced structures of 3D-STAP are proposed in this article. After analyzing the characteristics and distribution of nonstationary clutter for SBEWR, we find that the demands for auxiliary beams are different in elevation, azimuth and Doppler dimension. In addition, the suggestion to choose the number of auxiliary beams in each dimension is given. Simulation experiments are conducted to verify the analysis and evaluate the performance of the proposed methods. The simulation results show that the proposed 3D-STAP methods have better performance and lower computational burdens than typical 3D-STAP methods.

A Novel Non-Stationary Clutter Suppression Approach for Space-Based Early Warning Radar Using an Interpulse Multi-Frequency Mode

“…After performing matched filtering of the echoes of K pulses, the echo vector can be written as shown in Equation (24). In Equation ( 24), b i (ω d ) represents the time steering…”

“…Domestic and foreign scholars have proposed the concept of three-dimensional spacetime adaptive processing (3D-STAP), which introduces a coding dimension, waveform dimension, pitch dimension and carrier frequency dimension through its system design in addition to two dimensions of space and time. The controllable DOFs of the new dimensions are used to suppress the range ambiguity of SBEWR [24][25][26][27]. A multi-domain cascaded adaptive processing method was proposed in [28].…”

A Parallel Principal Skewness Analysis and Its Application in Radar Target Detection

“…Clutter suppression processing must be performed to improve the detection performance of the radar system for moving targets. There are many radar clutter suppression technologies, mainly multi-antenna cancellation technology [1][2][3][4][5], multi-dimensional domain filtering technology [6][7][8], dual-parameter constant false alarm rate detection technology [9], etc. Space-time adaptive processing (STAP) is a technique to distinguish moving objects and clutter from space-time two-dimensional, and it can effectively suppress clutter [10], so it is widely used.…”

Effective Non-Stationary Clutter Suppression Method via Elevation Oblique Subspace Projection for Moving Targets Detection with a Space-Based Surveillance Radar

“…Compared to an airborne radar, a space-based radar has a further detection range and a larger detection area due to having a much higher flight height. Therefore, the space-based radar has a wide application prospect and has received a great amount of attention in recent times [1][2][3][4][5]. One of the potential application aspects is to equip the surveillance radar onto the satellites and develop the space-based surveillance radar (SBSR).…”