Adaptive OFDM Waveform Design for Cognitive Radar in Signal-Dependent Clutter

Karimi, Vahid; Mohseni, Reza Moosavi; Samadi, Sadegh

doi:10.1109/jsyst.2019.2943809

Cited by 18 publications

(16 citation statements)

References 49 publications

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“…This is not a final solution due to the dependence of the optimum coefficients on the unknown Lagrange multipliers µ. However, when the communications signals are also orthogonal for different users, Q l becomes a diagonal matrix too as in (21). In this case, from (42), the optimum coefficient can be calculated as…”

Section: B With Constraintsmentioning

confidence: 99%

“…In [19], an orthogonal frequency division multiplexing (OFDM) signal was used for communications but its parameters were tuned to make it suitable for radar applications. In the radar research alone, OFDM waveform design is an interesting topic [21], [22]. Other works considered the optimization of radar waveforms to minimize its impact on the co-existing communications systems [20].…”

Section: Introductionmentioning

confidence: 99%

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Joint Radar-Communication Waveform Designs Using Signals From Multiplexed Users

Cao

Chen

et al. 2020

IEEE Trans. Commun.

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Section: B With Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Radar-Communication Waveform Designs Using Signals From Multiplexed Users

Cao

Chen

et al. 2020

IEEE Trans. Commun.

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“…where R˜ is the target covariance matrix and RẼ is the interference covariance matrix which is given by [36]…”

Section: Preliminariesmentioning

confidence: 99%

“…s.t AA H ≤ P t (26) where P t is the total transmitted power in dBW. In this paper, we applied our waveform design approach [36] which the transmitted OFDM signal weights were optimized based on maximizing mutual information criterion. The optimized weights of the OFDM signal was driven as…”

Section: Waveform Optimization Proceduresmentioning

confidence: 99%

An edge computing framework based on OFDM radar for low grazing angle target tracking

Karimi

Mohseni

Khosravi

2020

J Wireless Com Network

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In this paper, a novel adaptive algorithm to detect and track targets with low grazing angle is addressed. For this purpose, an orthogonal frequency division multiplexing (OFDM) radar signal is employed through an edge computing framework over the radar platform. However, detecting the targets in the low grazing angle area is a great challenge due to severe multipath reflection effects. The Earth's curvature geometry model is presented as the multipath propagation model. Based on the fact that the different scattering centers of a target resonate at different frequencies, we use the optimized OFDM waveform and propose a novel target tracking procedure for low grazing angle target tracking scenarios. The obtained results show that using an OFDM radar waveform provides a more uniform detection coverage in the presence of multipath propagation such that this will fill in the nulls. Finally, simulations are used to compare the performance of the proposed OFDM waveform with the conventional equal-power, the generalized likelihood ratio (GLR)-based and single-carrier waveforms.

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“…In [32] specifically designed radar waveforms are compared with LFM waveforms for target detection and discrimination. Orthogonal frequency division multiplexing waveform design is examined in [33] for adapting to an extended target response and non-stationary interference, which maximises the mutual information between the target response and the received signal. The joint implementation of spectral coexistence with TMI is investigated in [34] for the maximization of target SINR while adhering to external spectral costraints, and [35] undertakes the design of transmit waveforms by considering the transmit signal -target mutual information in a spectral coexistence context.…”

Section: Introductionmentioning

confidence: 99%

Fast Fully Adaptive Signalling for Target Matching

Horne

Jones

Smith

et al. 2020

IEEE Aerosp. Electron. Syst. Mag.

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In this article, we discuss a novel signal processing technique for adaptive radar that permits joint target-matched illumination and interference avoidance in dynamic spectral environments. This approach allows for spectral coexistence between a radar system and a primary user of the radio frequency space. Spectral coexistence is exploited to allow use of higher bandwidths than would otherwise be available to conventional radar systems. The technique proposed exploits the relative simplicity of the error reduction algorithm, and also provides a novel use of the masking procedure to allow for target-matched illumination. Practical constraints such as constant modulus are considered in the waveform design procedure, while providing an implied signal-to-interference-plus-noise ratio improvement via the error reduction algorithm. Results for full simulation and hardware-in-the-loop experiments are presented and analyzed. We are able to show a signal-to-interference-plus-noise ratio gain of 40 dB is achieved for the target-matched waveform as compared with a linear frequency modulated waveform. However, the signal-to-interference-plus-noise ratio gain comes at a cost of degraded autocorrelation characteristics of the targetmatched illumination waveform, despite only modest levels of primary user spectrum occupancy. Spectral notch depths achieved by the modified error reduction algorithm are approximately 25 dB.

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Adaptive OFDM Waveform Design for Cognitive Radar in Signal-Dependent Clutter

Cited by 18 publications

References 49 publications

Joint Radar-Communication Waveform Designs Using Signals From Multiplexed Users

Joint Radar-Communication Waveform Designs Using Signals From Multiplexed Users

An edge computing framework based on OFDM radar for low grazing angle target tracking

Fast Fully Adaptive Signalling for Target Matching

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