Joint radar-communications performance bounds: Data versus estimation information rates

Chiriyath, Alex R.; Bliss, Daniel W.

doi:10.1109/milcom.2015.7357655

Cited by 30 publications

(12 citation statements)

References 24 publications

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“…The estimation information rate incorporates the insights of rate distortion theory but emphasizes the symmetry with the communications bound. In this paper, we refine and extend the performance bounds introduced in [1], as well as the additional bounds discussed in [2]. We also expand the results in [1] in greater detail.…”

mentioning

confidence: 64%

Inner Bounds on Performance of Radar and Communications Co-Existence

Chiriyath

Paul

Jacyna

et al. 2016

IEEE Trans. Signal Process.

333

219

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We investigate methods of co-existence between radar and communications systems. Each system typically considers the other system a source of interference. Consequently, the traditional solution is to isolate the two systems spectrally or spatially. By considering a cooperative radar and communications signaling scheme, we derive achievable bounds on performance for a receiver that observes communications and radar return in the same frequency allocation. We assume the radar and communications operations to be a single joint system. Bounds on performance of the joint system are measured in terms of data information rate for communications and a novel radar estimation information rate for the radar.Index Terms-Performance bounds, radar-communications co-existence. I. INTRODUCTIONT HERE is an ever increasing demand for spectrum and given the limit on resources, communications and radar systems are increasingly encouraged to share bandwidth. This can cause inter-system interference that degrades the performance of both systems. The standard solution is to separate (temporally, spatially or spectrally) the radar and communications systems. In this paper, we do not require this separation, and we explore the fundamental radar and communications co-existence performance bounds. An important contribution that enables this exploration is the novel parameterization of estimation information rate. The estimation information rate incorporates the insights of rate distortion theory but emphasizes the symmetry with the communications bound. In this paper, we refine and extend the performance bounds introduced in [1], as well as the additional bounds discussed in [2]. We also expand the results in [1] in greater detail. The two new inner bounds on performance discussed in this paper are the isolated sub-band inner bound and the optimal Fisher information inner bound.

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mentioning

confidence: 64%

Inner Bounds on Performance of Radar and Communications Co-Existence

Chiriyath

Paul

Jacyna

et al. 2016

IEEE Trans. Signal Process.

333

219

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“…By limiting the peak side-lobe to main-lobe ratio to be below a certain threshold, we can reduce the effect the peak side-lobe as well as any other high side-lobes will have on the global estimation error. This constraint is mathematically defined in Equation (11). • Spectral leakage (constraint C 2 ): Since the system can only receive signals whose spectrum lies within the system's bandwidth, any electromagnetic radio frequency (RF) energy that leaks outside of the bandwidth will be lost.…”

Section: Joint Waveform Design Problemmentioning

confidence: 99%

“…The main goal of this paper is to to develop the optimization framework for waveform design of a joint radar communications system and analyze the solution's performance from an information theoretic perspective. The results presented in this paper can be extended to include more complicated scenarios such as clutter [10] and multiple radar targets [11]. The problem scenario considered in this paper is given by Figure 1.…”

Section: Introductionmentioning

confidence: 98%

Radar Waveform Optimization for Joint Radar Communications Performance

et al. 2019

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We develop and present a radar waveform design method that optimizes the spectral shape of the radar waveform so that joint performance of a cooperative radar communications system is maximized. The continuous water-filling (WF) spectral-mask shaping method presented in this paper is based on the previously derived spectral-mask shaping technique. However, the method presented in this paper is modified to utilize the continuous spectral water-filling algorithm to improve communications performance. We also introduce additional practical system constraints on the autocorrelation peak side-lobe-to-main-lobe ratio and radar waveform spectral leakage. Finally, we perform a numerical study to compare the performance of the continuous WF spectral-mask-shaping method with the previously derived method. The global estimation rate, which also accounts for non-local estimation errors, and the data rate capture radar and communications performance respectively.

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“…To measure the information of the target, we leverage previous works defining estimation rate [2][3][4][5][6][7][8]. The estimation rate is defined as the mutual information between the noiseless and noisy target tracking state per unit time.…”

Section: Radar Estimation Ratementioning

confidence: 99%

“…The CIR was introduced in our prior work [1] in the pursuit of theoretical information bounds on the performance for joint radar-communications systems [2][3][4][5][6][7][8]. In this body of work, the estimation rate, a measure of radar tracking information as a function of time, was defined.…”

Section: Introductionmentioning

confidence: 99%

The Constant Information Radar

Paul

Bliss

2016

Entropy

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Abstract:The constant information radar, or CIR, is a tracking radar that modulates target revisit time by maintaining a fixed mutual information measure. For highly dynamic targets that deviate significantly from the path predicted by the tracking motion model, the CIR adjusts by illuminating the target more frequently than it would for well-modeled targets. If SNR is low, the radar delays revisit to the target until the state entropy overcomes noise uncertainty. As a result, we show that the information measure is highly dependent on target entropy and target measurement covariance. A constant information measure maintains a fixed spectral efficiency to support the RF convergence of radar and communications. The result is a radar implementing a novel target scheduling algorithm based on information instead of heuristic or ad hoc methods. The CIR mathematically ensures that spectral use is justified.

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Joint radar-communications performance bounds: Data versus estimation information rates

Cited by 30 publications

References 24 publications

Inner Bounds on Performance of Radar and Communications Co-Existence

Inner Bounds on Performance of Radar and Communications Co-Existence

Radar Waveform Optimization for Joint Radar Communications Performance

The Constant Information Radar

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