Abstract:
The problem of estimating the parameters of the radar return from a waveform with a tunable Dolph-Chebyshev power spectral density is considered. Specifically, the gradie...Show MoreMetadata
Abstract:
The problem of estimating the parameters of the radar return from a waveform with a tunable Dolph-Chebyshev power spectral density is considered. Specifically, the gradients of the Dolph-Chebyshev window are derived for use with the Gauss-Newton method for determining the multiple parameters of a received waveform. The radar waveform is designed using the pseudo-random optimized frequency modulation technique. The performance of this nonlinear-least squares technique is compared to the Gauss-Newton method using gradients derived from a sinc function (as would be the case for a linear frequency modulated waveform), as well as an interpolation method. Further, the complexities of the above techniques are discussed.
Published in: 2024 IEEE Radar Conference (RadarConf24)
Date of Conference: 06-10 May 2024
Date Added to IEEE Xplore: 13 June 2024
ISBN Information: