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Signals hiding amongst a high level of noise present both basic and practical detection challenges. These challenges become significantly worse when the signal is transient, eliminating standard averaging techniques. The use of optical frequency combs to circumvent these detection challenges is discussed.
The “rainbow” spectrum analyzer is a 20 GHz instantaneous bandwidth RF spectral analyzer with 10 μs-resolution. We derive a model in order to optimize this analyzer and estimate the dynamic range. An experimental validation is presented. The dynamic range is estimated to be larger than 75 dB.
We present a RF frequency down-conversion scheme using a switching mode uni-travelling-carrier (UTC) photodiode. This approach has the potential to achieve good conversion linearity and is suitable for photonic integration.
A serial photonic digital-to-analog converter (PDAC) is proposed and demonstrated. The established 4-bit PDAC has a good linearity and the effective number of bits reaches 3.49. Based on the PDAC, the generation of cosine, triangular, sawtooth, parabolic and square waveforms is implemented with good performance.
The lowest phase noise microwave signals are now produced by photonic methods. This talk will describe some of these methods, with special attention given to optical frequency division.
A silicon-based electrically tunable phase-shifted waveguide Bragg grating to operate as an on-chip signal processor for the implementation of a tunable fractional-order photonic temporal differentiator and an electrically tunable optical delay line is experimentally demonstrated.
We report a photonic chip comprising multiple colliding pulse mode-locked laser and delay line-assisted Mach-Zehnder interleaver to generate 350GHz wave signal. With this mode-locked laser fourth harmonics are obtained. The interleaver quadruples the repetition rate. An integrated phase modulator enables wavelength tuning up to 0.03nm.
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