Cognitive Space-Time Transmit Pattern Design

Ying Sun,Jun Li,Zishu He

doi:10.1155/2014/141568

Abstract

This paper provides a cognitive space-time (angle-Doppler) transmit pattern design method for mitigating clutter effect. This pattern takes full advantage of degrees-of-freedom (DOF) on transmit, which can preserve the maximum response for the target of interest while prenulling the mainlobe clutter on transmit, potentially simplifying processing on receiver and reducing the requirement for receiver dynamic range. The output signal-to-clutter-and-noise ratio (SCNR) can be improved significantly after applying the cognitive space-time transmit pattern to airborne-phased array radar. In addition, the traditional transmit antenna pattern and the proposed cognitive scheme are compared in terms of the probability of target detection. Simulations are conducted to demonstrate proof-of-concept.

Highlights

In the recent years, cognitive approach has been proposed and intensively investigated [1,2,3]
Cognitive transmit pattern design is an innovative approach to be in pursuit of improving radar system performance [2, 4, 5]
This paper provided a cognitive space-time transmit pattern design method which applies to both homogeneous and a mixed land and sea clutter environment

Summary

Introduction

Cognitive approach has been proposed and intensively investigated [1,2,3]. This paper provided a cognitive space-time transmit pattern design method which applies to both homogeneous and a mixed land and sea clutter environment. The space-time adaptive processing (STAP) commonly used at receivers has been shown to provide large performance gains by jointly working across temporal and spatial domains [7,8,9]. With the knowledge of target of interest, we provided a design method of space-time transmit pattern which places notches along the trajectory of the clutter spectrum. Thereby it reduces the amount of residual competing clutter that must be canceled in the receiver, reducing the requirement for receiver dynamic range.

Problem Formulation

Knowledge-Aided Space-Time Transmit Pattern Design

Numerical Examples

Conclusion