Fast Maximnurm Likelihood Joint Estimation of Frequency and Frequency Rate

Abatzoglou, Theagenis J.

doi:10.1109/taes.1986.310805

Cited by 228 publications

(52 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In a practical system, these two aspects can become challenging, and the performance results obtained in the following are therefore representing an upper bound. Detailed signal detection processing considerations are beyond the scope of this paper and will be treated in future work, but the detection could for instance be done using a multidimensional search based on preamble symbols and the frequency drift estimated with a specific algorithm (for instance, see Abatzoglou and references therein). These two estimators imply an increased receiver complexity, and some performance losses should be expected, especially in high interference conditions, nevertheless for the loads under consideration their impact is assumed to be negligible.…”

Section: Random Access For Unb Transmissionsmentioning

confidence: 99%

On the performance of UNB for machine‐to‐machine low earth orbit (LEO) satellite communications

Anteur

Thomas

Deslandes

et al. 2018

Satell Commun Network

View full text Add to dashboard Cite

Summary Ultra narrow band (UNB) is a widely used technology for machine‐to‐machine and low‐power wide‐area communications. Its properties, long range with small RF power, make it naturally attractive for satellite communications but also draw new challenges compared with terrestrial systems where this technology is already deployed. Indeed, the main advantage of UNB signals, their small bandwidth, makes them more sensitive to frequency drifts that are particularly present in the case of LEO satellite systems. It also implies the use of a random access method in which the carrier frequency is a parameter unknown by the receiver. In this paper, we propose a general semianalytical model to evaluate the performance of a terrestrial or satellite system using UNB technology, taking into account the multiuser interference and the frequency drift. This model is then used to assess the performance (packet loss ratio and throughput) on the return link medium access control (MAC) of a representative LEO satellite system. With our model, we analyze the effect of frequency drift on the system performance. This paper also proposes to investigate more deeply the multiuser interference modeling in order to estimate accurately the performances of a UNB system in terms of bit error rate (BER). We propose a semianalytical approach to study the interference in presence of arbitrary power imbalance that includes the effect of frequency offset and frequency drift and applicable for any linear modulation and any pulse‐shaping filter. The expression of the multiuser interference is established in the general case. We then propose a methodology to compare this exact model to the Gaussian interference approximation (mainly used through the central limit theorem) in order to assess its accuracy.

show abstract

Section: Random Access For Unb Transmissionsmentioning

confidence: 99%

On the performance of UNB for machine‐to‐machine low earth orbit (LEO) satellite communications

Anteur

Thomas

Deslandes

et al. 2018

Satell Commun Network

View full text Add to dashboard Cite

show abstract

“…The parameter estimation of multi-component PPS has been a hot topic in the domain of signal processing, and many algorithms, such as the optimal maximum likelihood algorithm, the product high order ambiguity function algorithm and multilinear function have been proposed recently [37,38,39]. These algorithms are efficient and accurate to estimate the parameters of PPS with arbitrary order.…”

Section: Signal Model Constructionmentioning

confidence: 99%

ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform

Wang

Abdelkader

Zhao

et al. 2015

Sensors

View full text Add to dashboard Cite

Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational compensation, and the high quality ISAR images can be obtained by the parameters estimation of it combined with the Range-Instantaneous-Doppler (RID) technique. In this paper, a novel parameters estimation algorithm of the multi-component PPS with order three (cubic phase signal-CPS) based on the modified discrete polynomial-phase transform (MDPT) is proposed, and the corresponding new ISAR imaging algorithm is presented consequently. This algorithm is efficient and accurate to generate a focused ISAR image, and the results of real data demonstrate the effectiveness of it.

show abstract

“…The model of the polynomial phase signal (PPS) [44]- [49] can be applied to deal with Doppler frequency migration aside from the time-frequency transform methods [25]- [32]. The maximum likelihood (ML) [44], [45] and the nonlinear instantaneous least squares (NILS) [46] are statistically optimal. However, they require an excessive amount of computational load due to the full-dimensional searching.…”

mentioning

confidence: 99%

An Approach for Refocusing of Ground Moving Target Without Target Motion Parameter Estimation

Huang

Liao

Yang

et al. 2017

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

In synthetic aperture radar (SAR), long integration time may induce range migration and Doppler frequency migration of a received signal, which may degrade the SAR imaging performance of ground moving targets. Most of the conventional algorithms deal with the problems of range migration and Doppler frequency migration based on parameter searching. However, the exhaustive searching of target motion parameters may result in heavy computational burden. To avoid this problem, this paper proposes a new imaging method for ground moving targets without target motion parameter estimation. First, Keystone transform is applied to correct the range walk. Second, range curvature is compensated by the matched filtering function. Third, Doppler frequency migration is compensated via multiplying the data in range-and azimuth-time domains by its reversed conjugate data according to the equal interval sampling of the azimuth slow time, which avoids the searching procedure for target motion parameter estimation. Finally, the signal energy will be well accumulated in the range-Doppler domain, and thus, the moving targets can be efficiently recognized in the focused image. The major advantage of the proposed method is that it can obtain well-focused images of all targets in one processing step without target motion parameter estimation; thus, it is computationally efficient. Both simulated and real data processing results are used to validate the effectiveness of the proposed method.Index Terms-Doppler frequency migration, equal interval sampling, ground moving target indication (GMTI), Keystone transform, synthetic aperture radar (SAR).

show abstract

Fast Maximnurm Likelihood Joint Estimation of Frequency and Frequency Rate

Cited by 228 publications

References 9 publications

On the performance of UNB for machine‐to‐machine low earth orbit (LEO) satellite communications

On the performance of UNB for machine‐to‐machine low earth orbit (LEO) satellite communications

ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform

An Approach for Refocusing of Ground Moving Target Without Target Motion Parameter Estimation

Contact Info

Product

Resources

About