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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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142 CHAPTER 4 MIMO <strong>Radar</strong>SINR Loss (dB)0−5−10−15−20−25−30−35−40Orthogonal WaveformsPhased Array−45−1000 −800 −600 −400 −200 0 200 400 600 800 1000Doppler Frequency (Hz)FIGURE 4-10 Notional SINR loss for GMTI. If SINR loss is near 0 dB, then a target with thevelocity corresponding to that Doppler frequency is easily detected in the presence <strong>of</strong> clutter.The SINR loss for orthogonal waveforms is significantly lower than that for the conventionalphased array for many frequencies, so an improved minimum detectable velocity is expected.4.6.4 Beampattern SynthesisPhased array radars that employ digital beamforming on receive are able to spoil theirbeam on transmit to cover a larger area. In doing so, the search rate may be increased atthe cost <strong>of</strong> signal-to-noise ratio. While this is typically accomplished by applying a phasetaper across the array, this can also be considered in a MIMO context. As described in [26],beam spoiling by transmitting orthogonal waveforms relaxes some <strong>of</strong> the requirements onthe radar hardware when clutter is limiting detection performance.As described before, the transmit beampatterns that may be synthesized are a function<strong>of</strong> the MIMO signal correlation matrix, R φ . To synthesize a desired pattern, the appropriatecorrelation matrix must be identified. Further, a suite <strong>of</strong> signals must be found thatpossesses these correlations. Some examples <strong>of</strong> such techniques are presented in [27,28].4.7 SUMMARYAs is hopefully evident from this chapter, analysis <strong>of</strong> the utility <strong>of</strong> MIMO techniquesfor a particular radar application may not be straightforward. It should also be clear thattransmitting orthogonal waveforms is not advantageous in every situation. The primarygoal <strong>of</strong> this chapter has been to provide a framework for evaluating the appropriateness<strong>of</strong> a particular suite <strong>of</strong> MIMO waveforms for a specific radar mission. This is necessaryto decide if performance will be enhanced by using a MIMO radar instead <strong>of</strong> a traditionalphased array configuration.By synthesizing virtual phase centers, we saw how a MIMO radar can provide enhancedangular resolution. This may be <strong>of</strong> utility in the case <strong>of</strong> GMTI and air-to-air radar.A similar analysis revealed the ability <strong>of</strong> a MIMO radar to trade peak gain for a moreflexible transmit pattern. An application to SAR was presented.

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