Abstract

Based on the idea of the waveform agility in cognitive radars,the waveform libraries for maneuvering target tracking are discussed. LFM-waveform libraries are designed according to different combinations of chirp parameters and FrFT rotation angles. By applying the interact multiple model (IMM) algorithm in tracking maneuvering targets, transmitted waveform is called real time from the LFM-waveform libraries. The waveforms are selected from the library according to the criterion of maximum mutual information between the current state of knowledge of the model and the measurement. Simulation results show that waveform library containing certain amount LFM-waveforms can improve the performance of cognitive tracking radar.

Highlights

  • Cognitive radar can select transmitter configuration according to characteristics of the targets and environment and can improve the performance of detection and tracking [1]

  • Study on optimal waveform design and scheduling based on signal-to-noise ratio (SNR) maximisation or information theory is preferred for cognitive radar

  • We focus on the design of linear frequency modulation (LFM)-waveform library for maneuvering target tracking

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Summary

Introduction

Cognitive radar can select transmitter configuration according to characteristics of the targets and environment and can improve the performance of detection and tracking [1]. Study on optimal waveform design and scheduling based on signal-to-noise ratio (SNR) maximisation or information theory is preferred for cognitive radar. Targets tracking based on the waveform library Theory on design waveform library is introduced by some scholars [10-15], which is practical and operational for waveform agility in radars systems. The papers of Suvorova were discussing waveform library design and waveform selection criteria for target tracking by [14-15]. Simulations are performed to validate the design of library and information-theoretic criteria for adaptive selection of a waveform

Problem Formulation
Waveform selection criteria
Waveform library design
Conclusions

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