Abstract
Noise radars employ random waveforms in their transmission as compared to traditional radars. Considered as enhanced Low Probability of Intercept (LPI) radars, they are resilient to interference and jamming and less vulnerable to adversarial exploitation than conventional radars. At its simplest, using a random waveform such as bandpass Gaussian noise as a probing signal provides limited radar performance. After a concise review of a particular noise radar architecture and related correlation processing, this paper justifies the rationale for having synthetic (tailored) noise waveforms and proposes the Combined Spectral Shaping and Peak-to-Average Power Reduction (COSPAR) algorithm, which can be utilized for synthesizing noise-like sequences with a Taylor-shaped spectrum under correlation sidelobe level constraints and assigned Peak-to-Average-Power-Ratio (PAPR). Additionally, the Spectral Kurtosis measure is proposed to evaluate the LPI property of waveforms, and experimental results from field trials are reported.
Highlights
Noise radars transmit random signals, as opposed to traditional radars having deterministic waveforms
Popov used random pulses in his radio experiments and reported that ship detection was possible in a bistatic configuration [3], and this was followed by Christian Huelsmeyer in 1904, where he used noise pulses of a spark generator to detect the presence of ships with his device named Telemobiloscope, known as the “radar precursor” [4,5]
Noise radar comes at a cost of computational burden as it requires a large bandwidth for processing wideband noise waveforms on return and fast digitizers to provide a sufficient sampling rate compared to traditional FMCW radars
Summary
Noise radars transmit random signals, as opposed to traditional radars having deterministic waveforms. The theory of matched filter tells us that noise radars can have similar performance merits in terms of range and Doppler resolution as conventional radars, i.e., the range resolution depends on signal bandwidth, and the Doppler resolution depends on coherent integration time Another incentive for researchers has been its appropriateness for covert radar as stealth requirements can be met by low power and long duty-cycle noise waveforms. (iii) The thumbtack shape of its Ambiguity Function allows high resolution both in range and Doppler space Despite these advantages, noise radar comes at a cost of computational burden as it requires a large bandwidth for processing wideband noise waveforms on return and fast digitizers to provide a sufficient sampling rate compared to traditional FMCW radars.
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