Fast Stable STAP Algorithms Based on Feedback Orthogonalization

TL;DR

This paper introduces a new fast and numerically stable STAP algorithm using feedback orthogonalization, enabling real-time implementation on cost-effective fixed-point processors.

Contribution

It presents a novel feedback orthogonalization technique that enhances stability and speed in space-time adaptive processing algorithms.

Findings

Improved numerical stability over existing methods

Faster convergence suitable for real-time applications

Compatible with fixed-point processor implementation

Abstract

The aim of this paper is to present a new fast-convergent numerically stable space-time adaptive processing (STAP) algorithm derived using a novel technique of feedback orthogonalization. The main advantages of this approach lie in its perfected stability to computational errors and faults which makes its real-time implementation on substantially faster and cheaper regular fixed-point processors possible.