Integer ambiguity resolution is required to obtain precise coordinates for the global navigation satellite system (GNSS). Poorly observed data cause unfixed integer and reduce coordinate accuracy. Previous studies mostly used denoise filters partial algorithms address this problem. This study proposes a sequential method that includes float solution substitution process double-difference (DD) i...

Economic evaluation of climate policy traditionally treats uncertainty by appealing to expected utility theory. Yet our knowledge of the impacts of climate policy may not be of sufficient quality to justify probabilistic beliefs. In such circumstances, it has been argued that the axioms of expected utility theory may not be the correct standard of rationality. By contrast, several axiomatic fra...

It has been shown that the fractional Fourier transform, recently very intensively investigated in mathematics, quantum mechanics, optics and signal processing, can be obtained as a special case of the earlier introduced linear coordinate transformations of the ambiguity function or Wigner distribution. Some applications of the generalized fractional transform on the time-frequency analysis are...

Advances in information technologies are narrowing the gap that traditionally existed between computing methods for radar signal processing, digital communications, and digital signal processing in general. A new field is becoming more stable as new applications and challenges are met for on board, real time operations. This field is termed computing methods for radar communications signal proc...

The problem of ground target detection with passive radars is considered. The design of an antenna array based on commercial elements is presented, based on a non-uniform linear array optimized according to sidelobe level requirements. Array processing techniques are applied in the cross-ambiguity function domain to exploit integration gain, system resolution and the sparsity of targets in this...

The local polynomial Fourier transform (LPFT) based algorithm for autofocusing SAR images has recently been proposed by the authors. It produces a well focused image of moving targets, without defocusing stationary targets or inducing undesired cross-terms. The drawback of this algorithm is its high computational burden caused by the large number of elements in the set of used chirp-rates. We p...

In this paper we extend Wilcox’s classical results to the case of subregions of R2. This generalization enables us to construct many promising new waveforms with desired ambiguity profiles in the regions being considered. Key-Words: Radar waveform design, Ambiguity function, Non-linear optimization, Hermite waveform.

In previous work, the spread has been presented as a means to quantify nonstationarity. This is done by estimating the support of the joint time-frequency correlation function known as the expected ambiguity function. Two fundamental issues concerning the spread are addressed here. The first is that the spread is not invariant under basis transformation. We address this problem by introducing t...

CAZAC (Constant Amplitude Zero Auto-Correlation) sequences are important in waveform design because of their optimal transmission efficiency and tight time localization properties. Certain classes of CAZAC sequences have been used in radar processing for many years, while recently discovered sequences invite further study. This paper compares different classes of CAZAC sequences with respect to...