Theoretical aspects of radar imaging using stochastic waveforms

Daryl C. Bell, Ram M. Narayanan

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

In this work, we develop the theory of radar imaging using stochastic waveforms, such as random noise or chaotic signals. Specifically, we consider one-dimensional (1-D) (range profiles) and two-dimensional (2-D) (range-Doppler) radar imaging performed with a random signal radar, in which the transmit signals are assumed to be stationary random processes. We calculate the 1-D and 2-D point-spread functions as the expected value of the radar return. We show that the 2-D point-spread function is spatially invariant; however, the reduction in height and broadening of the mainlobe is small in the case of bandlimited noise. We also derive a formula that is useful in calculating the variance of the radar return under the assumption that the transmit signal is real valued and Gaussian.

Original languageEnglish (US)
Pages (from-to)394-400
Number of pages7
JournalIEEE Transactions on Signal Processing
Volume49
Issue number2
DOIs
StatePublished - Feb 2001

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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