Abstract

The authors present transmit-adaptive jammer nulling waveforms in cognitive radar (CRr) for aircraft response recognition as a form of electronic support in the electronic warfare domain. New forms of knowledge-based noise jammers that function as a form of electronic attack to matched illumination waveforms are also introduced. These knowledge-based noise jamming techniques capitalize on prior knowledge of the target’s frequency response to obscure the true target response echo. The results from simulation show that real-time adaptive waveforms suppress the effects of electronic attack noise jammers and the newly introduced knowledge-based noise jammers. High bandwidth radar cross section (RCS) responses via electromagnetic (EM) simulations of true-to-physical-size aircraft are used for simulations to produce CRr classification performance against a comprehensive list of noise jammers.

Highlights

  • Electronic warfare (EW) involves the use of electromagnetic (EM) spectrum or directed energy to control EM spectrum for the purpose of deceiving an adversary or to protect friendly systems against similar actions

  • TARGET-MATCHED KNOWLEDGE-BASED NARROWBAND JAMMER Another technique we propose is a target-matched KB narrowband noise jammer (MKB-NBJ), where the power spectral density (PSD) of the narrowband jammer is given by pMKB(f ) =

  • We consider two other noise jammers with frequency responses that are fixed in transmission time and frequency domain: double-lobe narrowband jammer NBJ-3 and a comb jammer (CMJ) with JNR = 20 dB and PSDs are shown in Figure 5c and Figure 5d respectively

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Summary

INTRODUCTION

Electronic warfare (EW) involves the use of electromagnetic (EM) spectrum or directed energy to control EM spectrum for the purpose of deceiving an adversary or to protect friendly systems against similar actions. We significantly expand our design to several transmit-adaptive jammer nulling waveforms in a CRr framework for aircraft radar cross section (RCS) response recognition against a substantial list of EA noise jammers. The suppression or exploitation of a cadre of noise jammer spectral distributions with the use of jammer-nulling transmitadaptive waveforms is certainly a substantial contribution in this new twist of EW application to CRr classification problems As mentioned, this ‘‘CRr-based EP versus EA’’ and the adaptive transmit-waveform techniques presented in this work are a significant advance from the traditional receiver-centric jammer mitigation techniques such as outlined in [30]. A. JAMMER NULLING SINR-BASED WAVEFORM DESIGN The SINR spectral density for a known extended target in jammer noise interference and AWGN is given by vSINR(f ) = |h(f )|◦2 ◦ |xj(f )|◦2 ∅ pjj(f ) + pnn(f ) , (4). Where A can be found by simple methods such as the bisection algorithm given an error tolerance δ

JAMMER-UNCOMPENSATED MI-BASED WAVEFORM DESIGN
AIRCRAFT TARGET SET
SUMMARY OF JAMMERS AND WAVEFORM
AIRCRAFT RCS RECOGNITION RESULTS
Findings
SUMMARY AND CONCLUSION
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