Constrained optimization applied to pulse compression codes, and filters

Nunn, C.

doi:10.1109/radar.2005.1435817

Cited by 45 publications

(23 citation statements)

References 6 publications

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“…Recently Nunn [3] proposed that the optimization should start with the signal that is having low peak and integrated sidelobe levels. As per this idea N. Levanon designed a mismatched filter that optimizes both peak sidelobe ration and integrated sidelobe ratio [4].…”

Section: Introductionmentioning

confidence: 99%

Performance of Ternary Sequence using Basic Cuckoo Search Algorithm

Renu*,

Kumar

2019

IJITEE

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Matched filtering is broadly used in various radar applications and communication fields whose output indicates some range sidelobes which may mask some stronger targets. This problem can be overcome by using mismatched filter after the matched filter which increases the performance that is in terms of peak sidelobe ratio. The proposed algorithm is suitable to obtain superior performance in range resolution and detection range simultaneously. The characteristics of chaotic codes such as auto-correlation and cross-correlation are same as random codes. So the input is considered as binary and ternary chaotic sequence which is undergone matched filtering process which is then undergo mismatched filter for further reduction in the sidelobe levels. The design of mismatched filter is adapted with cuckoo search algorithm that uses Lévy distribution. It is observed that the performance of the ternary sequence is significantly improved at the output and this method is extended to various length of ternary sequences.

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Section: Introductionmentioning

confidence: 99%

Performance of Ternary Sequence using Basic Cuckoo Search Algorithm

Renu*,

Kumar

2019

IJITEE

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“…Typical MMF length is P=3N. The search complexity increases considerably [13][14][15] because in addition to looking for waveform/MMF combination with good ISLR, it is necessary to add a constraint on the acceptable SNR loss. Tolerated SNR loss is usually < 2dB.…”

Section: Introductionmentioning

confidence: 99%

Creating sidelobe-free range zone around detected radar target

Levanon

2014

2014 IEEE 28th Convention of Electrical &Amp; Electronics Engineers in Israel (IEEEI)

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To achieve good range response pulse radars transmit modulated or coded waveforms with good aperiodic autocorrelation function (ACF) and use a matched filter (MF) receiver. Range sidelobe (SL) can be considerably lowered by using a mismatched-filter (MMF), designed to minimize the integrated or peak SL. Low SL prevent masking weak neighboring targets and reduce the contribution from surrounding clutter. This paper suggests a different approach to SL reduction. It is based on designing a Modified MMF (MMMF) in which the near SL of the cross-correlation function (CCF) are given higher weight in the minimization process and are therefore more drastically reduced. A combination of the MMMF and a standard MF can create a SL-free response.

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“…The received signal consists of delayed, attenuated versions of the transmitted waveform and thus provides information regarding the range and relative radar cross-section (RCS) of scatterers illuminated by the radar. The optimal extraction of this information has been investigated for decades, resulting in numerous contributions to the design of radar waveforms and receive filtering strategies that seek to optimize various performance metrics, such as output signal-to-noise ratio (SNR) and peak/integrated sidelobe levels, as well as maintain desirable properties such as Doppler tolerance [1][2][3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Of these, mismatch filtering is perhaps the most widely used and can achieve very low sidelobe levels when paired with an "optimal" transmit code (e.g. [1]- [2]) or when reduced range resolution is tolerable.…”

Section: Introductionmentioning

confidence: 99%

Dimensionality Reduction Techniques for Efficient Adaptive Pulse Compression

Blunt

Higgins

2010

IEEE Trans. Aerosp. Electron. Syst.

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Adaptive filtering for radar pulse compression has been shown to improve sidelobe suppression through the estimation of an appropriate pulse compression filter for each individual range cell of interest. However, the relatively high computational cost of full-dimension, adaptive range processing may limit practical implementation in many current real-time systems. Dimensionality reduction techniques are here employed to approximate the framework for pulse compression filter estimation. Within this approximate framework, two new minimum mean square error (MMSE) based adaptive algorithms are derived. The two algorithms are denoted as specific embodiments of the fast adaptive pulse compression (FAPC) method and are shown to maintain performance close to that of full-dimension adaptive processing, while reducing computation cost by nearly an order of magnitude (in terms of the discretized waveform length N).

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Constrained optimization applied to pulse compression codes, and filters

Cited by 45 publications

References 6 publications

Performance of Ternary Sequence using Basic Cuckoo Search Algorithm

Performance of Ternary Sequence using Basic Cuckoo Search Algorithm

Creating sidelobe-free range zone around detected radar target

Dimensionality Reduction Techniques for Efficient Adaptive Pulse Compression

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