Ultra-wideband SAW correlator

Brocato, Robert Wesley; Skinner, Jack L.; Wouters, G.; Wendt, Joel R.; Heller, Edwin J.; Blaich, J.

doi:10.1109/tuffc.2006.1678180

Cited by 23 publications

(10 citation statements)

References 4 publications

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“…The SAW operates passively, taking the place of highpowered, high-speed digital electronics; therefore, it may be used for designing light, much small and highly temperature stable RF components, for examples, the band-pass filter, the time delayer, correlator, oscillator, and so on [15,16]. Refer to Fig.…”

Section: Compressed-sampling Filter Based On Sawmentioning

confidence: 99%

The Compressed-Sampling Filter (Csf)

Li¹,

Zhang²,

Yin³

et al. 2009

PIER B

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Abstract-The common approaches to sample a signal generally follow the well-known Nyquist-Shannon's theorem: the sampling rate must be at least twice the maximum frequency presented in the signal. A new emerging field, compressed sampling (CS), has made a paradigmatic step to sample a signal with much less measurements than those required by the Nyquist-Shannon's theorem when the unknown signal is sparse or compressible in some frame.We call a compressed-sampling filter (CSF) one for which the function relating the input signal to the output signal is pseudorandom. Motivated by the theory of random convolution proposed by Romberg (for convenience, called the Romberg's theory) and the fact that the signal in complex electromagnetic environment may be spread out due to the rich multi-scattering effect, two CSFs via microwave circuit to enable signal acquisition with sub-Nyquist sampling have been constructed, tested and analyzed. Afterwards, the CSF based on surface acoustic wave (SAW) structure has also been proposed and examined by the numerical simulation. The results have empirically shown that by the proposed architectures the S-sparse ndimensional signal can be exactly reconstructed with O(S log n) realvalued measurements or O(S log(n/S)) complex-valued measurements with overwhelming probability.

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Section: Compressed-sampling Filter Based On Sawmentioning

confidence: 99%

The Compressed-Sampling Filter (Csf)

Li¹,

Zhang²,

Yin³

et al. 2009

PIER B

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“…There are two techniques to generate the chirp pulses (CPs). The first technique uses surface acoustic wave (SAW) filter for chirp spreading and dispreading consuming a huge amount of power and cannot be integrated on the chip, which limits its application . On the other hand, the second technique generates the CP by applying linear ramp voltage to a voltage‐controlled oscillators (VCO), which can be integrated on‐chip .…”

Section: Introductionmentioning

confidence: 99%

Compact memristor‐based ultra‐wide band chirp pulse generator

Barraj

Bahloul

Fouda

et al. 2019

Circuit Theory & Apps

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Summary In this letter, a memristor‐based chirp pulse generator circuit is introduced for ultra‐wideband transceivers for the first time. The proposed generator is built using memristor‐controlled ring oscillator. Memristor is used to replace the bulky components in the chirp pulse generation such as surface acoustic wave filters and reactive components (capacitor and inductors), which reflects a huge reduction in area and power. The chirp pulse frequency of the proposed circuit varies linearly with time over the pulse duration due to the change in the memristance. The proposed circuit is mathematically analyzed and designed using 65‐nm complementary metal‐oxide‐semiconductor (CMOS) technology. The 500‐MHz bandwidth is demonstrated using a 32‐ns pulse width complying with the FCC regulations. The power consumption is 84 μW with a 10‐MHz pulse repetition frequency (PRF).

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“…Examples of UWB correlators include a radio-frequency (RF) integrated circuit implementation [10] with 600 MHz operating frequency and SAW (surface acoustic wave) filters with center frequency 3.63 GHz and bandwidth 1 GHz [11][12]. However, none of the abovementioned methods provides correlation solutions covering the full UWB bandwidth.…”

Section: Introductionmentioning

confidence: 99%