Joint dynamic spectrum access and target‐matched illumination for cognitive radar

Palamà, Riccardo; Griffiths, Hugh; Watson, Francis

doi:10.1049/iet-rsn.2018.5218

Cited by 7 publications

(5 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gu [13], in supplementary work, refined the target model and derived the analytical form for information-theoretic waveform design of a Gaussian mixture extended target. In the context of spectrum sharing with communication devices, the waveform optimization approaches can be accessed in [14][15][16]. Nonetheless, two problems remain in the information-driven radar waveform design.…”

Section: Motivationsmentioning

confidence: 99%

Waveform Design for Target Information Maximization over a Complex Circle Manifold

Yu,

Fu,

Yang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

The cognitive radar framework presents a closed-loop adaptive processing paradigm that ensures the efficient acquisition of target information while exploring the environment and enhancing overall sensing performance. In this study, instead of mutual information, we employed the squared Pearson correlation coefficient (SPCC) to measure the target information in observations specifically considering only linear dependency. A waveform design method is proposed that simultaneously maximizes target information and minimizes the integrated sidelobe level (ISL) under the constant modulus constraint (CMC). To enhance computational efficiency, we reformulated the constrained problem as an unconstrained optimization problem by leveraging the inherent geometric property of CMC. Additionally, we present two conditional equivalences associated with waveform design in relation to target information. The simulation results validate the feasibility and effectiveness of the proposed method.

show abstract

Section: Motivationsmentioning

confidence: 99%

Waveform Design for Target Information Maximization over a Complex Circle Manifold

Yu,

Fu,

Yang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…[101], [161], [176], [183], [187], [212] Adaptive Waveforms Radar and communication signals are modified to increase SNR.…”

Section: Embedded Communications In Radar Signalsmentioning

confidence: 99%

Systematization of Knowledge: Spectrum Sharing Between Radar and Communications

Tolley,

Makin,

Dietrich

2023

IEEE Access

View full text Add to dashboard Cite

To help meet the growing demand for wireless data capacity, the United States Federal Communications Commission (FCC) and National Telecommunications and Information Administration (NTIA) define and regulate a spectrum-sharing approach in several radio frequency (RF) bands, with sharing in additional bands expected in the near future. This paper examines the case in which some of the users in the shared bands are government radars, as is the case in the 3.5 GHz Citizens Broadband Radio Service (CBRS) band. This paper surveys topics related to dynamic spectrum sharing (DSS) of RF bands between government radars and communication systems, including spectrum policy, dynamic spectrum access (DSA), dynamic frequency selection (DFS) and frequency assignment, Primary User (PU) protection and privacy, radar-communications interference mitigation, and joint radar-communications system design. The purpose of this paper is to provide readers with a summary of current knowledge of these aforementioned concepts while also providing references so that topics of interest may be studied deeper. The structure of this paper is broken into several topics, where within each topic table(s) provide a survey of the relevant topic. The contribution made includes over 200 references. Tables include summaries of approaches described in multiple references, as well as descriptions and summaries of individual references used throughout the survey. A taxonomy of approaches applicable to spectrum sharing between radar and communication systems is provided, as are conclusions and recommendations. Findings include existing technology, systems, and regulations utilizing the CBRS in its current structure. Therefore, all of the advancements will most likely be derived using a combination, derivative, or adapted methodology defined in the different sections throughout this survey.

show abstract

“…In these papers, the authors assumed that the TIR is known a priori or partially known. The assumption is justified if a template library containing TIR at all relevant target aspect angles is available, or the radar system is cognitive, i.e., the radar system can obtain the prior knowledge of the TIR from the previous estimates (see, e.g., [24], [28]- [30] and the references therein for a recent discussion). Different from [14], [15], [26], [27],…”

Section: A Signal Modelmentioning

confidence: 99%

“…In [21], the waveform design problem in the presence of signal-dependent interference was considered. In [22]- [24], radar waveform design for spectrum sharing with communication systems was addressed. However, the waveforms synthesized by the algorithms in these works are not constant-modulus, which makes them difficult to implement in practical radar systems.…”

Section: Introductionmentioning

confidence: 99%

Constrained Radar Waveform Design for Range Profiling

Tang,

Liu,

Wang

et al. 2021

Preprint

View full text Add to dashboard Cite

Range profiling refers to the measurement of target response along the radar slant range. It plays an important role in automatic target recognition. In this paper, we consider the design of transmit waveform to improve the range profiling performance of radar systems. Two design metrics are adopted for the waveform optimization problem: one is to maximize the mutual information between the received signal and the target impulse response (TIR); the other is to minimize the minimum mean-square error for estimating the TIR. In addition, practical constraints on the waveforms are considered, including an energy constraint, a peak-to-average-power-ratio constraint, and a spectral constraint. Based on minorizationmaximization, we propose a unified optimization framework to tackle the constrained waveform design problem. Numerical examples show the superiority of the waveforms synthesized by the proposed algorithms.

show abstract

Joint dynamic spectrum access and target‐matched illumination for cognitive radar

Cited by 7 publications

References 45 publications

Waveform Design for Target Information Maximization over a Complex Circle Manifold

Waveform Design for Target Information Maximization over a Complex Circle Manifold

Systematization of Knowledge: Spectrum Sharing Between Radar and Communications

Constrained Radar Waveform Design for Range Profiling

Contact Info

Product

Resources

About