IEE Proceedings F (Radar and Signal Processing)
Volume 139, Issue 5, October 1992
Volumes & issues:
Volume 139, Issue 5
October 1992
Improved rooting method for source localisation
- Author(s): J.A. Marks and K.M. Buckley
- Source: IEE Proceedings F (Radar and Signal Processing), Volume 139, Issue 5, p. 321 –326
- DOI: 10.1049/ip-f-2.1992.0045
- Type: Article
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p.
321
–326
(6)
The paper describes a new, improved version of the polynomial rooting approach to direction-of-arrival (DOA) estimation with linear equispaced arrays. It is based on FINE, one of the CLOSEST approaches to spatial-spectrum estimation, and is motivated to reduce resolution thresholds. The authors show that, with the new algorithm in comparison with established rooting algorithms, resolution can be improved without compromise to DOA estimate variance for the case of ideal array response vectors. It is also shown that, as the array response vectors depart from the ideal case, the performance of root-FINE degrades only slightly more rapidly than that of root-MUSIC at high SNR; for lower SNR, root- FINE is able to partially maintain its performance advantage over root-MUSIC for the case studied.
Selection of orthonormal transforms for improving the performance of the transform domain normalised LMS algorithm
- Author(s): B. Farhang-Boroujeny and S. Gazor
- Source: IEE Proceedings F (Radar and Signal Processing), Volume 139, Issue 5, p. 327 –335
- DOI: 10.1049/ip-f-2.1992.0046
- Type: Article
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p.
327
–335
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Transform domain adaptive filters (TDAF) that employ orthonormal transforms to convert their input samples to a set of partially uncorrelated components, to be used as actual inputs to an adaptive linear combiner, are studied. A recently proposed performance index is used. We show that the efficiency of an orthonormal transform, in improving the performance of the LMS algorithm, depends on its ability to spread the energy levels of its output components. This gives a clear view of the filtering concept of the transformation process when it is thought of as a bank of parallel filters tuned to different portions of the spectrum of the input sequence. The filtering view is able to predict the performance of the TDAF and suggest transforms that suit specific applications.
Comparison of adaptive target-tracking algorithms for phased-array radar
- Author(s): M. Munu ; I. Harrison ; D. Wilkin ; M.S. Woolfson
- Source: IEE Proceedings F (Radar and Signal Processing), Volume 139, Issue 5, p. 336 –342
- DOI: 10.1049/ip-f-2.1992.0047
- Type: Article
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p.
336
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The effects of incorporating a timevarying update time into three target-tracking algorithms based on the αβ- and αβγ-filters are presented and compared. The resulting performance figures are presented, these being the mean square errors, the mean update time and the mean number of updates. The update times are chosen according to the inverse of either the square root or cube root of the position residual. As expected, the αβγ-filter yields larger update times during the manoeuvre than those obtained with the αβ-filter, as the residuals obtained with the former filter are smaller during the manoeuvre. It is found that the best compromise between the number of updates and estimation errors is obtained when the update time is chosen according to the inverse of the square root of the residual when the αβ-filter is being used, and the inverse of the cube root of the residual when the αβγ-filter is being used. Finally, a discussion is presented as to how a combination of the αβ- and αβγ-filters can be made to track a target which executes manoeuvres.
Linear FMCW radar techniques
- Author(s): A.G. Stove
- Source: IEE Proceedings F (Radar and Signal Processing), Volume 139, Issue 5, p. 343 –350
- DOI: 10.1049/ip-f-2.1992.0048
- Type: Article
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p.
343
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Frequency modulated continuous wave (FMCW) radar uses a very low probability of intercept waveform, which is also well suited to make good use of simple solid-state transmitters. FMCW is finding applications in such diverse fields as naval tactical navigation radars, smart ammunition sensors and automotive radars. The paper discusses some features of FMCW radar which are not dealt with in much detail in the generally available literature. In particular, it discusses the effects of noise reflected back from the transmitter to the receiver and the application of moving target indication to FMCW radars. Some of the strengths and weaknesses of FMCW radar are considered. The paper describes how the strengths are utilised in some systems and how the weaknesses can be mitigated. It also discusses a modern implementation of a reflected power canceller, which can be used to suppress the leakage between the transmitter and the receiver, a well known problem with continous wave radars.
New parametric method of detecting random signals in unknown noise. Part 1: Asymptotic theory
- Author(s): Q.T. Zhang ; K.M. Wong ; S. Haykin
- Source: IEE Proceedings F (Radar and Signal Processing), Volume 139, Issue 5, p. 351 –358
- DOI: 10.1049/ip-f-2.1992.0049
- Type: Article
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p.
351
–358
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The problem of detecting random signals in unwanted clutter in a radar system is discussed. First, the models of the received data and the neighbouring clutter cells are developed. A new detection scheme is then proposed based on the comparison of the complete information of the second-order statistics estimated from the data under test and those estimated from the neighbouring clutter cells. The maximum likelihood ratio test is developed accordingly. The performance of the new detection scheme is analysed using the asymptotic properties of the likelihood ratio and is shown to be superior to the conventional noncoherent detection method.
New parametric method off detecting random signals in unknown noise. Part 2: Application to radar
- Author(s): Q.T. Zhang ; K.M. Wong ; S. Haykin
- Source: IEE Proceedings F (Radar and Signal Processing), Volume 139, Issue 5, p. 359 –364
- DOI: 10.1049/ip-f-2.1992.0050
- Type: Article
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p.
359
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A new method of detecting a signal in unwanted clutter has been developed. The paper shows how this new method can be applied to practical situations of radar detection. It shows how a simple correction factor can be applied to the test statistic under the condition of limited data samples. The performance of the corrected test statistic is then examined using computer simulations. Finally, the new method is employed to real radar data for the detection of targets embedded in sea clutter, revealing its superiority in performance compared to other methods.
New approach to constructing two-dimensional aperture synthesis systems
- Author(s): L.E. Kopilovich
- Source: IEE Proceedings F (Radar and Signal Processing), Volume 139, Issue 5, p. 365 –368
- DOI: 10.1049/ip-f-2.1992.0051
- Type: Article
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p.
365
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The problem of constructing aperture synthesis (AS) systems which cover a given rectangular domain of spatial frequencies with a minimum of receiving elements is considered. A method for obtaining two-dimensional AS systems by multiplying linear minimum redundancy AS systems is proposed. On the basis of difference sets, AS systems for large domains are suggested. The redundancy of such systems reaches 32–33%, whereas that of T systems for square domains is 50% and for rectangular domains not less than 41%. The general estimates of the minimum redundancy two-dimensional AS systems indicate that the construction suggested in this work can be regarded as a step towards optimal AS systems.
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