“…Even with these generalizations, there are a large range of significant extensions to these bounds to make them applicable to more scenarios. While information has not historically been considered a figure of merit for radar, with cognitive radar architectures taking center stage [16], information-centric measures are needed to intelligently control radar emissions [17] and maximize spectral cooperation with communications users.…”
We investigate cooperative in-band radar and communications signaling for frequency-modulated continuouswave (FMCW) radar and Doppler estimation. While each system typically considers the other system a source of interference, by considering the radar and communications operations to be a single system, joint performance bounds can be formulated. We extend previous work where a novel estimation and information theoretic bound formulation was constructed for a receiver that observes communications and radar returns in the same frequency allocation. While the previous work derived a joint performance bound in terms of the communications rate and the target delay estimation rate of the system for pulsed waveforms, we derive a similar bound for FMCW radar and include Doppler estimation. This extension is important given the rise of popularity of FMCW radars, and since the continuous signaling brings them closer to how communications systems operate.
Comm TX Comm RXRadar TX/RX
“…Even with these generalizations, there are a large range of significant extensions to these bounds to make them applicable to more scenarios. While information has not historically been considered a figure of merit for radar, with cognitive radar architectures taking center stage [16], information-centric measures are needed to intelligently control radar emissions [17] and maximize spectral cooperation with communications users.…”
We investigate cooperative in-band radar and communications signaling for frequency-modulated continuouswave (FMCW) radar and Doppler estimation. While each system typically considers the other system a source of interference, by considering the radar and communications operations to be a single system, joint performance bounds can be formulated. We extend previous work where a novel estimation and information theoretic bound formulation was constructed for a receiver that observes communications and radar returns in the same frequency allocation. While the previous work derived a joint performance bound in terms of the communications rate and the target delay estimation rate of the system for pulsed waveforms, we derive a similar bound for FMCW radar and include Doppler estimation. This extension is important given the rise of popularity of FMCW radars, and since the continuous signaling brings them closer to how communications systems operate.
Comm TX Comm RXRadar TX/RX
“…Lu and Chen [69] describe the merging of HF radar with CR to create systems less dependent on highly skilled operators. Cognitive waveform parameter selection on the basis of a priori information, and external ionosphere measurements are described in [70]. Holdsworth [71] discusses performance assessment in cognitive over‐the‐horizon radar using synthetic targets.…”
Section: Motivation For a Cognitive Radar Classification Schemementioning
confidence: 99%
“…Along with the potential gains of CR, we should also consider the problems which might be encountered as we progress towards practical CR. Greenspan [73] highlights several 'potential pitfalls' where caution should be exercised, from the reliability of knowledge sources, to the extent of training times required for learning machines, and the potential for learning stagnation. The legal implications of inappropriate actions taken by intelligent machines such as CR must also be carefully considered.…”
Cognitive radar is a rapidly developing area of research with many opportunities for innovation. A significant obstacle to development in this discipline is the absence of a common understanding of what constitutes a cognitive radar. The proposition in this article is that radar systems should not classed as cognitive, or not cognitive, but should be graded by the degree of cognition exhibited. We introduce a new taxonomy framework for cognitive radar against which research, experimental and production systems can be benchmarked, enabling clear communication regarding the level of cognition being discussed.
We derive the constant information radar, or CIR. Previous works developed the notion of a radar estimation rate, a measure of information shared between the true target range and range-rate, and the actual noisy measurement over time. This measure provided a means to compare various cooperative schemes for shared spectrum access for radar and communications (SSPARC). Since it provides a measure of target uncertainty and thus information transfer for a given tracking loop period, it can be used to modulate radar emission rate to minimize shared spectrum impact to communications networks.
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