Linear FM signal parameter estimation from discrete-time observations

Peleg, Shir; Porat, B.

doi:10.1109/7.85033

Cited by 213 publications

(138 citation statements)

References 8 publications

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“…Since each PD operation in the HAF increases the SNR threshold by approximately 6 dB and produces additional interference terms, reducing the number of PDs can improve the accuracy and the SNR threshold [12]. The hybrid CPF-HAF reduces the number of PDs by two with respect to the HAF, so it has lower SNR threshold and MSE.…”

Section: Hybrid Gcpf-haf Methodsmentioning

confidence: 99%

A Hybrid Algorithm for Estimating the Parameters of Polynomial-Phase Signals

Tang¹,

Lin²,

Yuan³

et al. 2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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Abstract-This paper details a hybrid algorithm for estimating the parameters of polynomial-phase signals (PPSs) embedded in additive white Gaussian noise. This algorithm combines the high-order ambiguity function (HAF) and the generalized cubic phase function (GCPF), and is a modification of the hybrid CPF-HAF method. In the proposed algorithm, the HAF is first applied on the original PPS to produce a cubic phase signal, whose parameters are then estimated by the GCPF, instead of the CPF. Numerical examples reveals that the signal-to-noise-ratio (SNR) threshold and mean-squared error (MSE) of the proposed approach are significantly lower than the HAF, and the SNR threshold of the proposed approach is increased by about 4dB with respect to the CPF-HAF, while the MSE is reduced by about 2dB above the threshold. In addition, the proposed approach is extended to the product version in the presence of multicomponent PPSs, where the product version of the CPF-HAF suffers from an identifiability problem.

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Section: Hybrid Gcpf-haf Methodsmentioning

confidence: 99%

A Hybrid Algorithm for Estimating the Parameters of Polynomial-Phase Signals

Tang¹,

Lin²,

Yuan³

et al. 2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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“…To satisfy this requirement, the absolute value of the error component E needs to be smaller than / 3 π , which is expressed as 2 E a a nt a n t…”

Section: Effects Of Parameter Estimation Errors In a Countermeasure Smentioning

confidence: 99%

“…The motivation behind the sMLE scheme [2] lies on the optimization problem of the MLE scheme that maximizes the function ( )…”

Section: Sub-optimal Maximum Likelihood Estimation Scheme Of Linear-fmentioning

confidence: 99%

“…Many studies have examined ways of estimating the parameters linear-FM signal [2][3][4][5][6][7][8] and polynomial phase signal [9][10][11], a superset of linear-FM signal. Among them, this study focused on the suboptimal MLE (sMLE) scheme [2] because it is based on the general FFT operation with almost the same mean-square-error (MSE) performance as the Cramer-Rao bounds (CRB) at high SNR. For this reason, it matches the premises well and is applicable to the active cancelation technique as a parameter estimation scheme.…”

Section: Introductionmentioning

confidence: 99%

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Parameter Estimation of Linear-FM with Modified sMLE for Radar Signal Active Cancelation Application

Choi

Lee²

2014

IEIE Transactions on Smart Processing and Computing

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This study examined a radar signal active cancelation technique, which is a theoretical way of achieving stealth by employing a baseband process that involves sampling the incoming hostile radar signal, analyzing its characteristics, and generating countermeasure signals to cancel out the linear-FM signal of the hostile radar signal reflected from the airborne target. To successfully perform an active cancelation, the effects of errors in the countermeasure signal were first analyzed. To generate the countermeasure signal that requires very fast and accurate processing, the down-sampling technique with the suboptimal maximum likelihood estimation (sMLE) scheme was proposed to improve the speed of the estimation process while preserving the estimation accuracy. The simulation results showed that the proposed down-sampling technique using a 2048 FFT size yields substantial power reduction despite its small FFT size and exhibits similar performance to the sMLE scheme using the 32768 FFT size.

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“…[4]. Based on the previous researches, this paper discusses the uncorrelated characteristic between echoes and jamming based the "thumbtack" feature of LFM signal in FRFT domain [5]. Finally, build an oblique projection operator according to [6] and [7] to suppress the jamming.…”

Section: Introductionmentioning

confidence: 99%

LFM Radar Convolution Jamming Suppression Based on Oblique Projection in FrFT Domain

Wang

Ping

Zhao

et al. 2016

MATEC Web of Conferences

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Abstract. Convolution false-targets jamming against LFM fire-control radars generates range and velocity false targets which are coherent with target echo, which increases the difficulty of jamming detection and suppression and makes the victim radar system lost the track of real target. To combat against this type of jamming, the uncorrelated characteristic between the jamming and echo in FRFT domain is discussed firstly. Thus, an oblique projection operator which is capable of suppress convolution false-targets jamming is built. The simulation results showed the operator have little effect on the echo and proved the effectiveness of this method.

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Linear FM signal parameter estimation from discrete-time observations

Cited by 213 publications

References 8 publications

A Hybrid Algorithm for Estimating the Parameters of Polynomial-Phase Signals

A Hybrid Algorithm for Estimating the Parameters of Polynomial-Phase Signals

Parameter Estimation of Linear-FM with Modified sMLE for Radar Signal Active Cancelation Application

LFM Radar Convolution Jamming Suppression Based on Oblique Projection in FrFT Domain

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