Joint communications and radar performance bounds under continuous waveform optimization: The waveform awakens

Paul, Bryan; Chiriyath, Alex R.; Bliss, Daniel W.

doi:10.1109/radar.2016.7485103

Cited by 53 publications

(40 citation statements)

References 20 publications

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“…The bearing measurement is corrupted by AWGN at the CRLB, independent of the Doppler noise [11]. The results here can easily be extended to include global ambiguity using the method of interval errors [4,11,47]. Extending the tracking model to multiple targets with more complicated error models in theory only amounts to more complicated probability distributions.…”

Section: Target Measurement Modelmentioning

confidence: 99%

“…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%

“…Note that the model covariance is modified by the measurement transform as shown in Equation (4). Therefore, uncertainty in the state distribution may be removed or obfuscated after the measurement transforms the state.…”

Section: Model Mismatchmentioning

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%

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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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Section: Target Measurement Modelmentioning

confidence: 99%

Section: Radar Estimation Ratementioning

confidence: 99%

Section: Model Mismatchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Constant Information Radar

Paul

Bliss

2016

Entropy

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“…Ref. [8] presented a novel radar waveform design method that accounts for global estimation errors and selects the optimal radar waveform spectrum such that joint performance is maximized. The results presented in this paper are an extension of the work presented in [8].…”

Section: Introductionmentioning

confidence: 99%

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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