Optimal frequency increment selection in frequency diverse multiple‐input–multiple‐output radar

Xiang, Zhe; Chen, Baixiao

doi:10.1049/iet-rsn.2015.0519

Cited by 12 publications

(15 citation statements)

References 27 publications

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“…Moreover, an FDA with an adaptive frequency offset selection scheme was proposed in [96] to improve localisation performance. Likewise, an optimal frequency offset selection for MIMO‐FDA radar was presented in [97], where the optimal frequency offset was selected by maximising output SINR in each coherent interval. Similarly, an adaptive computation of frequency offset at each scan based on the receiver feedback has been proposed in [98] for improved radar performance.…”

Section: Fda Radarmentioning

confidence: 99%

Development of frequency diverse array radar technology: a review

Basit

Khan

et al. 2018

IET Radar, Sonar & Navigation

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Section: Fda Radarmentioning

confidence: 99%

Development of frequency diverse array radar technology: a review

Basit

Khan

et al. 2018

IET Radar, Sonar & Navigation

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“…Considering prior knowledge, Yan et al studied the allocation of radar resources for different purposes when the MIMO radar system tracks multiple targets [22,23]. A maximum signalto-interference-plus-noise ratio (SINR) based on frequency diverse property of the MIMO radar system was deduced by Xiang and Chen, which was designed to control the power of the MIMO radar system under a determined SINR [24]. Tang et al designed a new MIMO radar waveform which was used to improve the Rician targets' detection performance under a limited power [25].…”

Section: Introductionmentioning

confidence: 99%

Netted Radar Tracking with Multiple Simultaneous Transmissions against Combined PDS Interception

Wang

Zhou

2020

Journal of Sensors

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One of the advantages of a netted airborne radar system (NARS) is escaping interception of the passive detection system (PDS) while tracking a target. A significant tactic to realize tracking without PDS interception is to study the low probability of interception (LPI) time of NARS. Firstly, this paper analyses the power, frequency, and platform interception probabilities of a combined PDS consisting of a radar-warning receiver (RWR) and an electronic support measurement (ESM). Secondly, this paper takes interactive multiple models (IMM) to describe the target tracking process and introduces a binary hypothesis test for chi square as well as noncentralized chi square distributions as a detection criterion of NARS during target tracking after the design of adaptive dwell time and the maximum illumination interval algorithm. Finally, based on experiential moving platform interception probabilities of a RWR and an ESM, a simplified math model is presented to estimate LPI time of NARS when the parameters are partially known. Simulations illustrate that the simultaneous management of radiation power and time is crucial for NARS against combined PDS interception.

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“…For instance, a joint range-angle estimation algorithm is presented in [7]; a FDA-MIMO Radar with double pulsewas proposed, with the aim ofimproving the range-angle localization of the target [8]. Another popular area of FDA-MIMO Radar research is related to optimizing nonuniform frequency offset to obtain modified range-angle beampattern or better output performance [11,12,13,14,15]. As discussed in [11], the logarithmic frequency offset allows a single maxima for each beam, ensuring that the signal information at the receiver is of better quality.…”

Section: Introductionmentioning

confidence: 99%

“…A cognitive FDA-MIMO Radar with situational awareness is researched to maximize the output SINR by iteratively optimizing the frequency offset in a closed-loop control manner [13]. In [15], the authors took advantage of an optimal frequency increment selection method by maximizing the SINR in each coherent processing interval for the FDA-MIMO Radar, and also discuss a corresponding target discrimination method. Nevertheless, to the best of our knowledge, less attention has been paid to tapping the potential of nonuniform frequency offset in increasing the DOFs while keeping the same element number.…”

Section: Introductionmentioning

confidence: 99%

An Improved Adaptive Received Beamforming for Nested Frequency Offset and Nested Array FDA-MIMO Radar

Cheng

Zhang

Bian

et al. 2018

Sensors

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For the conventional FDA-MIMO (frequency diversity array multiple-input-multiple-output) Radar with uniform frequency offset and uniform linear array, the DOFs (degrees of freedom) of the adaptive beamformer are limited by the number of elements. A better performance—for example, a better suppression for strong interferences and a more desirable trade-off between the main lobe and side lobe—can be achieved with a greater number of DOFs. In order to obtain larger DOFs, this paper researches the signal model of the FDA-MIMO Radar with nested frequency offset and nested array, then proposes an improved adaptive beamforming method that uses the augmented matrix instead of the covariance matrix to calculate the optimum weight vectors and can be used to improve the output performances of FDA-MIMO Radar with the same element number or reduce the element number while maintain the approximate output performances such as the received beampattern, the main lobe width, side lobe depths and the output SINR (signal-to-interference-noise ratio). The effectiveness of the proposed scheme is verified by simulations.

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Optimal frequency increment selection in frequency diverse multiple‐input–multiple‐output radar

Cited by 12 publications

References 27 publications

Development of frequency diverse array radar technology: a review

Development of frequency diverse array radar technology: a review

Netted Radar Tracking with Multiple Simultaneous Transmissions against Combined PDS Interception

An Improved Adaptive Received Beamforming for Nested Frequency Offset and Nested Array FDA-MIMO Radar

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