Performance of Pulse Compression Code and Filter Pairs Optimized For Loss and Integrated Sidelobe Level

Nunn, C.; Kretschmer, F.F.

doi:10.1109/radar.2007.374200

Cited by 16 publications

(8 citation statements)

References 5 publications

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“…For the same pulse width ( 32 μs ) and rise/fall-time ( 50 ns for the non-tapered pulse), Figure 3 depicts the spectrum for the CPM implementation (red) of a length-64 Nunn-Kretschmer loss constrained polyphase code [8]. The spectral content for the CPM waveform implementations of the binary and polyphase codes are nearly identical.…”

Section: Cpm Implementation For Radar Waveformsmentioning

confidence: 99%

“…Zero-Doppler range cut for the CPM and ideal implementations of the length-64 Nunn-Kretschmer code For the 64-length Nunn-Kretschmer code[8] with a 32 μs pulse width and a sampling rate of 100 MHz (yielding 50 samples per chip), the CPM waveform implementation (with 50 ns rise/fall-time) and the ideal implementation from (1) are employed to generate and,Fig. 5illustrates the zero-Doppler range cut of the ambiguity function for the CPM waveform implementation as well as a comparison with the ideal implementation from (1) for the same code.…”

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confidence: 99%

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CPM-based radar waveforms for efficiently bandlimiting a transmitted spectrum

Blunt

Cook

Perrins

et al. 2009

2009 IEEE Radar Conference

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In this paper we shall demonstrate how a polyphasecoded radar waveform can be implemented using a continuous phase modulation (CPM) framework so as to achieve spectral containment while maintaining a constant envelope to maximize energy-on-target. Current modulation techniques such as derivative phase shift keying (DPSK) and minimum shift keying (MSK), which are applicable to binary-coded waveforms, are well-known implementation schemes for spectral containment. The CPM implementation is applicable to polyphase codes and can also achieve better spectral containment, though a byproduct is increased range sidelobes that result due to the deviation from the idealized code (implicitly defined for squared-shaped chips). To ameliorate the increased range sidelobes, a version of Least-Squares mismatched filtering is employed that accommodates the continuous nature of the CPM structure. Also, continuous rise/fall-time transitions of the pulse are addressed as part of the holistic implementation of the CPM-based waveform. It is observed that for the CPM implementation the rise/fall-time becomes the limiting factor on spectral containment and a rather simple scheme based on Chireaux out-phasing is suggested as a means to "slow down" the pulse rise/fall.

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Section: Cpm Implementation For Radar Waveformsmentioning

confidence: 99%

mentioning

confidence: 99%

CPM-based radar waveforms for efficiently bandlimiting a transmitted spectrum

Blunt

Cook

Perrins

et al. 2009

2009 IEEE Radar Conference

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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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Performance of Pulse Compression Code and Filter Pairs Optimized For Loss and Integrated Sidelobe Level

Cited by 16 publications

References 5 publications

CPM-based radar waveforms for efficiently bandlimiting a transmitted spectrum

CPM-based radar waveforms for efficiently bandlimiting a transmitted spectrum

Creating sidelobe-free range zone around detected radar target

Dimensionality Reduction Techniques for Efficient Adaptive Pulse Compression

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