A Design, simulation and optimal selection of non-linear frequency modulation waveforms (NLFM) based on correlated ambiguity function (AF) quality analysis for the purpose of Synthetic Aperture Radar (SAR) is done in this article. The selected optimum CNLFM waveform in contribution with other waveforms are applied directly into a SAR image formation algorithm (IFA) and their quality metrics in ...

This paper focuses on the combined radar and communications problem conducts a thorough analytical investigation effect of phase frequency change communication sensing functionality. First, we consider classical stepped waveform modulate data using M-ary shift keying (MPSK). Two important tools in design, namely ambiguity function (AF) Fisher information matrix (FIM) are derived, based which, m...

This talk is based on a joint paper with A. Bonami and G. Garrigós [3] in which the phase retrieval problem for the Radar Ambiguity Function (i.e. the Radar Ambiguity Problem) has been tackled. In particular it was shown that for wide classes of signals, the radar ambiguity problem has a unique solution, up to trivial transformations. In the second part of the talk, we report on ongoing work by...

By using the fractional Fourier transformation of the time-domain signals, closed-form expressions for the projections of their auto or cross ambiguity functions are derived. Based on a similar formulation for the projections of the auto and cross Wigner distributions and the well known two-dimensional (2-D) Fourier transformation relationship between the ambiguity and Wigner domains, closed-fo...

Al-Najjar and Weinstein 2009 propose to scrutinize the implications of recent theories of ambiguity in dynamic settings. They conclude that such implications are so unreasonable as to cast doubts on the legitimacy of the theories under consideration. The present paper argues that the seemingly unreasonable implications highlighted by Al-Najjar and Weinstein can be understood as the result of ba...

ln this paper, we describe an approach to planning sensing slralegies dynamically, based on the system’s current best information about the world. Our approach is for the system to automatically propose a sensing operation, and then to determine the maximum ambiguity which might remain in the world description if that sensing operation were applied. The system then applies that sensing operatio...

We present the concept of nocuous ambiguity, which occurs when text is interpreted differently by different readers. In contrast, text exhibits innocuous ambiguity if different readers interpret it in the same way, even though structural or semantic analyses suggest that multiple interpretations may be possible. We collect multiple human judgements of a set of English phrases obtained from requ...

We analyze a market populated by expected utility maximizers and smooth ambiguity-averse consumers. We study conditions under which ambiguity-averse consumers survive and affect prices in the limit. If ambiguity vanishes with time or if the economy exhibits no aggregate risk, ambiguity-averse consumers survive, but have no long-run impact on prices. In both scenarios, ambiguity-averse consumers...

Radar emitter identification (REI) aims to extract the fingerprint of an and determine individual which it belongs. Although many methods have used deep neural networks (DNNs) for end-to-end REI, most them only focus on a single view signals, such as spectrogram, bi-spectrum, signal waveforms, so on. When electromagnetic environment varies, performance DNN will be significantly degraded. In thi...