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Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

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4.5 Waveforms for MIMO <strong>Radar</strong> 137Power (dB)0−20−40−60Auto−CorrelationCross−CorrelationFIGURE 4-9 Thecorrelationproperties and rangeresponse <strong>of</strong> the upanddown-chirpwaveforms.−80−100−5 0 5Time (µs)0Range Response−20Power (dB)−40−60−80−100−5 0 5Time (µs)As shown in Figure 4-9, each waveform has a desirable auto-correlation, and the peak<strong>of</strong> the cross-correlation is well below that <strong>of</strong> the auto-correlation. However, the crosscorrelationdoes not decay as the delay <strong>of</strong>fset increases. This is apparent in the rangeresponse, which for a broadside target is the sum <strong>of</strong> the auto- and cross-correlations, asstated in (4.34).The resulting range response when using an up- and a down-chirp as MIMO waveformshas the same range sidelobe structure near the peak as a single LFM, where theauto-correlation function dominates the MIMO range response. Instead <strong>of</strong> decaying tovery low levels the contribution <strong>of</strong> the cross-correlation <strong>of</strong> the waveforms is apparent,even for relatively large delays.From this analysis, we see that the simple case <strong>of</strong> an up- and down-chirp may provideacceptable peak sidelobe performance. Another figure <strong>of</strong> merit in waveform design isthe integrated sidelobe level, which characterizes not simply the largest sidelobe but alsoincludes the effect <strong>of</strong> all <strong>of</strong> the sidelobe energy. Clearly, the integrated sidelobe level iscompromised by transmitting the second quasi-orthogonal LFM waveform.This example <strong>of</strong> two waveforms was presented not as a recommendation for use in aMIMO radar but instead to present an example <strong>of</strong> the analysis that is required in choosingwaveforms. We have seen previously that the zero-lag <strong>of</strong> the correlation matrix in (4.33),

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