Optimization of waveform diversity and performance for pulse-agile radar

Cook, Matthew R.; Blunt, Shannon D.; Jakabosky, John

doi:10.1109/radar.2011.5960650

Cited by 22 publications

(6 citation statements)

References 7 publications

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“…s np (β, α np ) is constant for all n p = 0, · · · , N p −1), the clutter response after MF does not vary from pulse to pulse (internal clutter motion not withstanding). However, within the REC framework the range sidelobe coherence across the CPI of MF outputs is lost, resulting in the range sidelobe modulation (RSM) effect [6], [19]. The average clutter power after MF-DFT processing with the Doppler windowing function Γ = [Γ 0 , · · · , Γ Np−1 ] for normalized Doppler frequency −0.5 ≤ φ ≤ 0.5 is defined as…”

Section: Range Sidelobe Modulationmentioning

confidence: 99%

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Characterization of Range Sidelobe Modulation Arising from Radar-Embedded Communications

Şahin

Metcalf

Blunt

2017

International Conference on Radar Systems (Radar 2017)

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When information sequences are embedded into radar waveforms by means of coding diversity, the resulting radar emissions then change on a pulse-to-pulse basis during a coherent processing interval (CPI). As such, pulse compression of these different waveforms leads to different sidelobe structures, giving rise to range sidelobe modulation (RSM) of the clutter. The presence of RSM induces a partial loss of coherency after Doppler processing, resulting in residual clutter after cancellation, and hence reduced target visibility.Here the RSM effect is mathematically characterized within a phase-modulated radar-embedded communication framework. A closed-form expression for the expected value of the residual clutter power, referred to as the RSM power, is derived. The RSM power is found to not be dependent on the Doppler frequency or time-bandwidth product, but is a decreasing function of the number of pulses in the CPI and an increasing function of the modulation index. The latter controls the amount of phase shift within the radar pulse due to each communication symbol.

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Section: Range Sidelobe Modulationmentioning

confidence: 99%

“…The primary challenge with varying the radar emission from pulse to pulse within a coherent processing interval (CPI) is the clutter range sidelobe modulation (RSM) [6], [19]. The RSM arises because the pulse compression matched filtering (MF) of different radar-embedded communication (REC) waveforms leads to different sidelobe structures.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Range Sidelobe Modulation Arising from Radar-Embedded Communications

Şahin

Metcalf

Blunt

2017

International Conference on Radar Systems (Radar 2017)

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“…In a diverse phase-coded pulse train, different pulses exhibit the same mainlobe and various distributed sidelobes after fast-time pulse compression. Thus, after the slow-time FFT, the power of the mainlobes can be accumulated coherently while the power of the sidelobes is dispersed among the range-Doppler plane [ 12 , 13 ]. In normal cases, power of the dispersed sidelobes are relatively low and moving targets can be detected efficiently without range ambiguities.…”

Section: Introductionmentioning

confidence: 99%

“…For example, targets can be estimated optimally based on the clutter model which is initially estimated by a constant phase pulse train [ 5 ]. By using well-designed receiving filters, similar sidelobe structures can be obtained by different pulses, which will mitigate the sidelobe dispersions to a great extent [ 12 , 13 ]. All these procedures only concern the case when the clutter matches with the receiving filter.…”

Section: Introductionmentioning

confidence: 99%

Clutter and Range Ambiguity Suppression Using Diverse Pulse Train in Pulse Doppler System

Ren

Fan

et al. 2018

Sensors

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Pulse Doppler (PD) systems are widely used for moving target detection, especially in scenarios with clutter. Range ambiguity, which arises from fixed parameters in waveforms, is an inherent drawback in conventional systems. By using a diverse pulse train such as a train of coherent diverse phase coded pulses, these ambiguous peaks can be suppressed effectively but at the cost of sidelobe dispersions. In this work, a novel efficient PD process is proposed to suppress range ambiguity and detect moving targets under strong clutter. Poly-phase coded pulses are employed along with optimal receiving filters, by which the dispersed sidelobes are mitigated to a great extent. Moreover, a novel clutter suppression procedure is included in the PD process, by which strong clutter can be greatly suppressed. Well-designed receiving and inverse filters are employed. Simulation examples are presented to verify the theories. Compared with conventional methods, much better detection results are obtained for both near and remote targets, especially in scenarios with strong clutter.

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“…Using these filters instead of matched filters eliminates RSM, restoring the sensitivity of the radar. This approach to RSM mitigation was first described in [5, 7]. Those papers described an iterative procedure called joint least squares (JLS) that produces a set of filters with matching sidelobes, and described their performance in qualitative terms.…”

Section: Introductionmentioning

confidence: 99%