We apply recent theory in the high-SNR estimation of channel capacity to study how much information may be encoded in radar pulse waveforms. Waveforms are constrained to those which admit… Click to show full abstract
We apply recent theory in the high-SNR estimation of channel capacity to study how much information may be encoded in radar pulse waveforms. Waveforms are constrained to those which admit a high-gain, low-sidelobe pulse compression filter. Using simple numerical methods, we compute the high-SNR capacity of a Gaussian channel using such a waveform alphabet. The resulting tradeoff curves indicate a notably favorable theoretical tradeoff space between signal processing performance and high-SNR channel capacity.
               
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