Compression Waveforms for Non-Coherent Radar

Peer, Uri; Levanon, Nadav

doi:10.1109/radar.2007.374199

Cited by 13 publications

(6 citation statements)

References 3 publications

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“…Such interference is more pronounced in non-coherent processing than in coherent processing. When an aperiodic waveform is used, the interference effect declines as the delay difference between the two targets increases [3]. The interference disappears when the delay difference is longer than twice the signal duration.…”

Section: Eclipsing and Interferencementioning

confidence: 99%

“…Aperiodic on–off pulse sequences for such systems were discussed under the topic of non‐coherent pulse compression (NCPC) [1]. Complementary pairs [2] and periodic sequences [3, 4] were also discussed. The basic approach of creating suitable waveforms for the aperiodic case is to create a unipolar sequence by Manchester encoding a binary sequence known to be useful in coherent pulse compression; or by Manchester encoding a binary complementary pair.…”

Section: Introductionmentioning

confidence: 99%

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Non‐coherent pulse compression — aperiodic and periodic waveforms

Levanon

Cohen

Arbel

et al. 2016

IET Radar, Sonar & Navigation

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The growing interest in adopting pulse compression waveforms to non-coherent radar and radar-like systems (e.g. lidar) invites this update and review. The authors present different approaches of designing on-off {1, 0} coded envelopes of transmitted waveforms whose returns can be envelope detected and non-coherently processed. Two approaches are discussed for the aperiodic case: (a) Manchester encoding and (b) mismatched reference. For the periodic case, on-off sequences are described, which produce perfect periodic cross-correlation when cross-correlated with one or more integer number of periods of a two-valued reference sequence {1, −b}. This study provides comprehensive rules for designing periodic on-off waveforms and their references. The periodic waveform's highaverage duty cycle (over 50%) makes it a 'quasi continuous wave (CW) non-coherent waveform', which avoids the pulse-train conflict between average power and unambiguous range. Good experimental results with a laser range finder are presented. Reports on other uses are quoted.

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Section: Eclipsing and Interferencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non‐coherent pulse compression — aperiodic and periodic waveforms

Levanon

Cohen

Arbel

et al. 2016

IET Radar, Sonar & Navigation

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“…Noncoherent pulse compression which employs the on-off keying modulation was recently introduced by Levanon et al [5,[13][14]. The OOK transmitted signals suggested for NCPC are based on Manchester coding well-known binary sequences, like Barker or minimum peak sidelobe (MPSL) codes.…”

Section: Related Previous Techniquementioning

confidence: 99%

Noncoherent pulse compression with complementary coded direct sequence signaling

Seleym

2014

2014 Integrated Communications, Navigation and Surveillance Conference (ICNS) Conference Proceedings

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Noncoherent pulse compression (NCPC) can be obtained by the correlation of received unipolar binary complementary coded pulses with reference bipolar binary sequences. For improving the peak sidelobe level (PSL), a recent technique suggested obtaining NCPC from Manchester coding with a periodic autocorrelation of binary complementary pairs. This technique yields two large negative sidelobes around the mainlobe. In addition, the transmitted signal is 4N coded pulses in the duty cycles (N is the length of each complementary code). This leads to bandwidth broadening due to Manchester coding. In this paper, a new technique is proposed for NCPC based on coding only N transmitting pulses in the duty cycles using the direct sequence (DS) technique and on-off keying (OOK) modulation. In compression, a hybrid of two identical matched filters for each sequence is used for correlations. The output response is the sum of the two sequence responses. This technique achieves a perfect correlation with a peak of 2N while transmitting only N pulses and sidelobe levels of zero with only a half of the required bandwidth compared with Manchester coding based techniques besides implementation simplicity.

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“…Marcum's (S + N)−N integration is inherent in our work on noncoherent pulse compression [3][4][5][6]. The concept is demonstrated in Fig.…”

Section: Motivationmentioning

confidence: 99%

Performances of Marcum's (S+N)-N Integration Scheme with Fluctuating Targets

Sadogursky

Levanon

2014

IEEE Trans. Aerosp. Electron. Syst.

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The performances of Marcum's (signal + noise) − noise ((S + N)−N) integration scheme are analyzed for SW1 and SW2 fluctuating targets. This lesser known integration concept was not treated by Swerling when he extended Marcum's main signal + noise integration to four cases of fluctuating targets. We present closed-form probability density (pdfs) functions confirmed and extended by simulations. We show typical signal-to-noise ratio (SNR) loss of 1 dB for both SW1 and SW2, agreeing with Marcum's result for SW0. (S + N)−N integration is inherent in our work on noncoherent pulse compression, hence the renewed interest.

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Compression Waveforms for Non-Coherent Radar

Cited by 13 publications

References 3 publications

Non‐coherent pulse compression — aperiodic and periodic waveforms

Non‐coherent pulse compression — aperiodic and periodic waveforms

Noncoherent pulse compression with complementary coded direct sequence signaling

Performances of Marcum's (S+N)-N Integration Scheme with Fluctuating Targets

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