Fast Fully Adaptive Signalling for Target Matching Figure 10. Performance of nonadaptive waveform in dynamic environment-HITL. Of note is the reduction and greater variability in SINR compared with the simulation results. processed LFM, the notched LFM and the TMI signals, taken from the final CPI of each simulation run. Each result is normalized to the LFM value. Although the peak sidelobe level remains fairly constant, the integrated sidelobes increase as the waveform design becomes more specialized. The 3 dB width of the main lobe of the autocorrelation is stable between the LFM and notched waveforms but is significantly degraded in the TMI case. The SINR for the LFM is reduced to approximately À6 dB in the HITL scenario, a drop of 9 dB from the Figure 11. Performance of FFAST algorithm in dynamic environment-HITL. Transmitting the TMI waveform over-the-air is seen to result in a significant rise in SINR showing that the waveform design techniques can be applied in practical systems. 58 IEEE A&E SYSTEMS MAGAZINE JUNE 2020