Compressive pulse-Doppler radar sensing via 1-bit sampling with time-varying threshold

Zahabi, Sayed Jalal; Naghsh, Mohammad Mahdi; Modarres-Hashemi, Mahmoud; Li, Jian

doi:10.1109/icassp.2017.7952791

Cited by 22 publications

(13 citation statements)

References 19 publications

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“…It is indicated that at our parameter settings, four 3-order harmonics results in harmful effects. 7 Firstly, two unmatched 3-order harmonics, i.e., the term h 1,2 (t) in (20) and the term h 2,1 (t) in (21), raise the background level. If a true target locates on cells that are influenced by the unmatched 3-order harmonics, detection probability will be reduced.…”

Section: A Effects Of Harmonics On the Linear Signal Processingmentioning

confidence: 99%

“…In [12], [20]- [22], nonlinear methods are applied to process one-bit signals. In [12], based on one-bit compressed sensing (CS), a target reconstruction method is proposed for the one-bit pulse radar in the fast time domain.…”

Section: Introductionmentioning

confidence: 99%

“…In [12], based on one-bit compressed sensing (CS), a target reconstruction method is proposed for the one-bit pulse radar in the fast time domain. Subsequently, this method is extended to the slow time domain [20]. In [21], target reconstruction is considered for one-bit pulse-Doppler radar in the presence of clutter.…”

Section: Introductionmentioning

confidence: 99%

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One-Bit LFM Pulse Radar: Harmonic Analysis and Target Reconstruction

et al. 2019

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One-bit radar, adopting one-bit analog-to-digital converters to perform signal sampling and quantization, is a promising technology for low-cost and resource-limited applications. In this paper, effects of one-bit quantization on the linear signal processing for the one-bit linear frequency modulated pulse radar are studied and a target reconstruction approach is proposed. Firstly, characteristics of 3-order harmonics of the one-bit signal are analyzed. It is indicated that when conventional linear signal processing methods are carried out, 3-order harmonics may not only raise the detection background but also result in false alarms. Secondly, a two-stage approach jointly performing the linear and nonlinear signal processing is proposed to suppress harmonics and recover true targets. Specifically, in the first stage, the linear signal processing is carried out to suppress unmatched harmonics and dimension reduction. In the second stage, based on a dimension-reduced signal observation model, generalized approximate message passing is utilized to suppress matched harmonics and recover true targets. The effectiveness of the proposed approach is demonstrated by numerical results.

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Section: A Effects Of Harmonics On the Linear Signal Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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One-Bit LFM Pulse Radar: Harmonic Analysis and Target Reconstruction

et al. 2019

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“…Time‐varying thresholds are drawn once and fixed thereafter. Defining

y_{i} = y_{R_{i}} + j y_{I_{i}}

denote the observed data which is quantised to 1‐bit with time‐varying thresholds at time t for each viewing angle

θ_{i}

\begin{matrix} right leftthickmathspace.5em \\ y_{R_{i}} (t) & = sign (Re [r_{θ_{i}} (t)] - h_{R_{i}} (t)) \\ = sign (Re [{bold-italicH}_{θ_{i}} (t) f + ϵ_{i} (t)] - h_{R_{i}} (t)) \end{matrix}

\begin{matrix} right leftthickmathspace.5em \\ y_{I_{i}} (t) & = sign (Im [r_{θ_{i}} (t)] - h_{I_{i}} (t)) \\ = sign (Im [{bold-italicH}_{θ_{i}} (t) f + ϵ_{i} (t)] - h_{I_{i}} (t)) \end{matrix}

in which

Re false[\cdot false]

and

Im false[\cdot false]

denote the real and imaginary parts, respectively [25, 26],

θ_{i},

…”

Section: Observation Model Of Spotlight Mode Sar With 1‐bit Quantismentioning

confidence: 99%

“…To cope with unit‐norm constraint, sophisticated optimisation methods [15], alternative constraints [18] or the functions that quantify the consistency between the measured 1‐bit quantised data and the reconstructed signal [5, 6] need to be used. However, some of the recent studies have proposed random time‐varying thresholds [21–26], where 1‐bit measurements are captured by comparing signals to time‐varying threshold levels. Thus, the quantisation to 1‐bit with properly chosen thresholds enables to recover the amplitude of the signal more accurately.…”

Section: Introductionmentioning

confidence: 99%