IEE Proceedings - Radar Sonar and Navigation

Publisher: Institution of Electrical Engineers, Institution of Engineering and Technology

Journal description

Discontinued in 2006. Continued by IET Radar, Sonar & Navigation (1751-8784). Topics covered include: The theory and practice of systems involving the processing of signals for radar, radio location, radio navigation and surveillance purposes. Examples of the fields of application include radar, sonar, electronic warfare, avionic and navigation systems. Processing directed towards the above application areas includes advances in matched filters and wideband signal correlation for radar and sonar systems; algorithms and processor designs for adaptive array; bearing estimation; range/Doppler radar and acoustic image processing operations for SAR, sonar, seismic, target identification functions, etc.

Current impact factor: 1.12

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2008 Impact Factor 1.121
2007 Impact Factor 0.545
2006 Impact Factor 0.461
2005 Impact Factor 0.41
2004 Impact Factor 0.299
2003 Impact Factor 0.535
2002 Impact Factor 0.573
2001 Impact Factor 0.41
2000 Impact Factor 0.441
1999 Impact Factor 0.626
1998 Impact Factor 0.347
1997 Impact Factor 0.313

Impact factor over time

Impact factor

Additional details

5-year impact 0.00
Cited half-life >10.0
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.00
Website IEE Proceedings - Radar, Sonar and Navigation website
Other titles Radar, sonar, and navigation
ISSN 1350-2395
OCLC 29903951
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Institution of Engineering and Technology

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Pre-print to be removed on archiving of authors post-print
    • On a non-profit server
    • Set phrase to accompany pre-print (see link below)
    • On institutional server or institutional repository
    • Publisher copyright and source must be acknowledged
    • Must link to publisher version
    • Publisher's version/PDF cannot be used
    • If funding rules apply authors may post author version in designated repository
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: A periodic binary sequence that compresses a pulse to a width of several chips is proposed. In the region of relatively small compression ratios, many periodic binary sequences exist for which peak sidelobe levels are smaller than those of conventional codes such as m-sequences
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):482 - 486. DOI:10.1049/ip-rsn:20050150
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    ABSTRACT: Radar entomology has developed such that routine long-term monitoring of insect flight through the atmospheric boundary layer is now practical. Typical entomological radars use X-band (9.4 GHz) marine transceivers with a vertical pencil beam and rotate the plane of polarisation about the beam axis. Ideally, insect species and other parameters (mass etc.) should be estimated from the measured radar cross-section variation with polarisation angle. For this, a library of known insect cross-section polarisation signatures is required. Two models are currently used to parameterise the polarisation signature: the harmonic model and a model using the scattering matrix for symmetric targets (SM3). Data from the literature and a doctoral research project are presented and analysed to obtain parameters for both the harmonic and SM3 models. Knowledge of the measurement errors allows SM3 parameter uncertainties to be quantified in most cases using a maximum likelihood approach. Results for 68 insects representing 24 species are presented. These include several economically significant species (e.g. bees and locusts), with individual insect masses ranging from 9 mg to 3 g
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):502 - 508. DOI:10.1049/ip-rsn:20060019
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    ABSTRACT: The design and analysis of a knowledge-aided detector for airborne space-time adaptive processing (STAP) applications are addressed. The proposed processor is composed of a training data selector, which chooses secondary cells best representing the clutter statistics in the cell under test, and an adaptive processor for detection processing. The data selector is a hybrid algorithm, which pre-screens training data through the use of terrain information from the United States Geological Survey. Then, in the second stage, a data-driven selector attempts to eliminate residual non-homogeneities. The performance of this new approach is analysed using measured airborne radar data, obtained from the multi-channel airborne radar measurements program, and is compared with alternative STAP detectors proposed in the open literature
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):487 - 494. DOI:10.1049/ip-rsn:20050107
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    ABSTRACT: Coherent signal processing methods for combining the data that are collected via a multi-channel airborne radar system for moving target detection and image formation, are examined. Methods that convert multi-channel radar data into dual along-track monopulse synthetic aperture radar (SAR) signals of the radiated scene, are studied. A two-dimensional adaptive filtering method that projects the data in one synthesised SAR channel into the signal subspace of the other, is used for blind calibration of the monopulse SAR signals and generation of the moving target indication statistic. The merits of these algorithms are studied using the data from the multi-channel airborne radar measurement system that has been developed by the Air Force Research Laboratory at Rome, New York
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):532 - 543. DOI:10.1049/ip-rsn:20050128
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    ABSTRACT: On the basis of likelihood ratio test (LRT) theory, a new method for radar target identification with matching pursuits, including the estimation method for target scattering response and the extraction technique for the reference atom dictionary to characterise the target scattering, is introduced. When compared with the generalised LRT (GLRT) target identification method, there is a very important contribution in our method that the whole scattering waveform, not only a few main poles, is used to identify targets without any prior parameterisation model hypothesis. Furthermore, the identification to candidate targets can be performed in an almost aspect-independent manner over a full aspect angle in white Gaussian noise through a finite size reference atom dictionary. Simulation results using scattered responses synthesised from weighted sums of some exponentially damped sinusoids and calculated scattering signatures of three thin wires through a time-domain electric field integral equation are presented to contrast the performance of our method to the GLRT and the best LRT target identification method as a function of signal-to-noise ratio
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):509 - 515. DOI:10.1049/ip-rsn:20050147
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    ABSTRACT: This paper deals with the statistical modelling of radar backscattering from sea surface at low-grazing angles in high resolution radar systems. High-resolution polarimetric data at different range resolutions (60, 30, 15, 9 and 3 m) are analysed to highlight the differences in clutter statistical behaviour due to changes of resolution and/or polarisation. The clutter data were recorded by the IPIX radar of McMaster University in Grimsby, Ontario, Canada
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):473 - 481. DOI:10.1049/ip-rsn:20060045
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    ABSTRACT: Rihaczek and Hershkowitz have proposed that radar scattering from man-made targets is dominated by cavity-type reflectors that do not meet the assumptions of point scatterer theory. The effect of such dispersive scattering is to produce spurious bright responses in the radar image that can appear as a number of peaks lying along an arc. If such arc-type responses do exist in radar imagery then their removal would enhance the ability to focus moving target imagery and to perform automatic target recognition. Rihaczek and Hershkowitz have outlined a method for identifying such arc-type responses that use the image phase. Algorithms have been written to automate the outlined procedure and used to analyse a large number of synthetic and inverse synthetic aperture radar images. Arcs are present in most radar images of static and moving ground targets. To investigate whether the arcs are due to a physical mechanism or a chance occurrence, randomised target imagery was generated and also analysed. No significant differences are seen between the distributions of arc numbers obtained from randomised and real imagery. In conclusion, the arcs present in the real imagery are likely to occur by chance, rather than because of an underlying scattering mechanism
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):495 - 501. DOI:10.1049/ip-rsn:20060008
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    ABSTRACT: A fast-matched filter algorithm in time domain is presented to correlate signals for optimal detection of signals in noise, to extract ranging measurements, for synchronisation, and so on. The matched filters are discussed in the context of global positioning system receivers, but the algorithms presented here can be directly used for other direct sequence spread spectrum receivers as no constraining assumptions are made in the derivations. The method proposed here outperforms the conventional time-domain method several times in arithmetic complexity. It is also competitive with transform-domain techniques based on fast Fourier transform (FFT). Unlike FFT-based methods, however, this approach is accurate and does not use rounding or scaling operations
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):525 - 531. DOI:10.1049/ip-rsn:20060003
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    ABSTRACT: Optimum space-time adaptive processing (STAP) requires knowledge of the true interference covariance matrix. In practice, this matrix is not known and must be estimated from training data, which must be target free and statistically homogeneous with respect to the range gate under test. These conditions are often not satisfied, which degrades the detection performance. Particularly for bistatic ground moving target indication radar, the clutter Doppler frequency depends on range for all array geometries. This range dependency leads to problems in clutter suppression through STAP techniques. The main aim in this paper is to access the relative merits of several strategies associated with STAP weight training for bistatic airborne radar applications. In particular, the issues associated with applying reduced-dimension conventional STAP and in-the-gate processing are studied. Simulation results show that, for a bistatic radar environment, in-the-gate processing approach performs better than conventional STAP approaches
    IEE Proceedings - Radar Sonar and Navigation 01/2007; 153(6-153):516 - 524. DOI:10.1049/ip-rsn:20050121
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    ABSTRACT: Ensemble-averaged randomly scaled radar or sonar pulses are considered and the statistical theory for the corresponding phase and amplitude modulations are developed. Random scaling expresses varying radar cross-sections for scattering objects or varying antenna gain of a sweeping emitter. The noise variance of the modulations depends on the distribution function of the scaling, and how to minimise the variance by rejecting pulses below a certain amplitude threshold is shown. The theory is asymptotic in the sense that it is more accurate for increasing signal-to-noise ratios (SNRs). In a test case with uniformly distributed scaling, sufficient accuracy is reached for an average SNR larger than ~5 for the phase average and ~15 for the amplitude average
    IEE Proceedings - Radar Sonar and Navigation 11/2006; 153(5-153):438 - 444. DOI:10.1049/ip-rsn:20050104
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    ABSTRACT: The analysis of jamming signals emitted by electronic countermeasure (ECM) systems after phase quantisation, performed by radio frequency digital memory devices, and after introduction of increasing time delay, is approached. The analysis shows the exact expression of the spectrum of a phase-quantised jamming signal when the quantisation levels are equally spaced. The spectrum of the signal presents a main term that is simply an attenuated version of the signal received by the ECM system, and spurious terms whose amplitude and position depend on the number of quantisation levels. The effect of time delay quantisation introduced by range gate pull-off devices is analytically evaluated, in combination to the phase quantisation. Results show that this second distortion can be generally neglected with respect to the spurious terms because of the phase quantisation, particularly when the number of phase quantisation bits is low
    IEE Proceedings - Radar Sonar and Navigation 11/2006; 153(5-153):454 - 459. DOI:10.1049/ip-rsn:20050080
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    ABSTRACT: Radar signal detection is a complex task that is generally based on conventional statistical methods. In real applications, these methods require a lot of computing to estimate the clutter parameters and that they are optimal only for one type of clutter distribution. Recently, artificial neural networks (ANNs) have been used as a means of signal detection. Following on from this work, the authors consider the problem of radar signal detection using ANNs in a K-distributed environment. Two training algorithms are tested, namely, the back-propagation algorithm, and genetic algorithms for a multi-layer perceptron (MLP) architecture and also for the radial basis function architecture. The simulation results show that the MLP architecture outperforms the classical cell-averaging constant false alarm rate and order statistics constant false alarm rate detectors
    IEE Proceedings - Radar Sonar and Navigation 11/2006; DOI:10.1049/ip-rsn:20050103
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    ABSTRACT: A radar range resolution is generally determined by its transmitted pulse width and is thus a constant parameter unrelated to the detection range. However, a method has been proposed for greatly improving a radar range resolution by using signal-processing techniques to reduce the received pulse width at the expense of a high target signal-to-noise ratio. In this method, an autocorrelation output is first obtained from a time-series representation of the received signal, and this autocorrelation output is then processed using a least-squares error-shaping filter. This creates a corresponding increase in the bandwidth of the principal frequency spectrum, thereby improving the range resolution. The relationship between this spectral distribution and the range side-lobes in cases where the transmitted signal is a simple pulse or a plain phase-modulated wave is investigated. The interference cancelling effect achieved when a radar based on the proposed scheme receives interference is also investigated
    IEE Proceedings - Radar Sonar and Navigation 11/2006; 153(5-153):396 - 402. DOI:10.1049/ip-rsn:20050094