A Mach-Zehnder modulator (MZM) based analog to digital converter (ADC) is described. The signal to be digitized is applied to a single electrode of a high speed unbalanced modulator that acts as a quantizer. The rest of the system consists of commercially available wavelength division multiplexing (WDM) components. Analysis indicates that 6 bit operation at 40 Giga Samples per second (GS/s) is possible with moderate optical carrier power.
© 2010 OSA
Digital signal processing in applications such as radar, telecommunications and high speed instrumentation requires digitization of analog signals with both high sampling rate and high resolution. Photonic ADCs have been proposed to achieve high sampling rates. One approach uses a photonic time stretch preprocessor followed by an electronic ADC . Other approaches use all optical techniques [2–6]. There are other approaches using optical modulators, but require either one modulator per bit or electronic signal distribution to many electrodes , offering limited ability to scale to high bandwidth, high resolution systems. Here, we describe a high bandwidth, high resolution ADC design based on a single wide bandwidth Mach-Zehnder modulator (MZM) [8,9] and commercially available components.
2. Device description
Figure 1 shows the schematic of the proposed ADC. The system consists of a multi wavelength continuous wave (CW) source, a quantizer, a demultiplexer, sampler(s) and receivers. Diode lasers operating at different wavelengths are multiplexed into a waveguide using an arrayed waveguide grating (AWG). The waveguide feeds into a high speed unbalanced MZM acting as a quantizer. The spectral channels are then demultiplexed and each is temporally sampled. Alternatively, all channels could be sampled with a single device before demultiplexing. There are several different sampling technologies in integrated optics suitable for sampling needed. They can be directional coupler or Mach-Zehnder based [10–13]. All these technologies enable sub picosecond sampling at very high repetition rates. The sampled outputs are detected and compared to a binary threshold. The outputs of the receivers form a digital code corresponding to the analog signal applied to the MZM electrode. The system is similar to a wavelength division multiplexed (WDM) transmission system without the transmission fiber. All components are either commercially available or require only slight modifications to commercial designs.
An unbalanced MZM can quantize an applied voltage when its transfer function is applied to multiple wavelengths. The normalized output power as a function of drive voltage and wavelength is:Figure 2 shows the MZM output at four equally-spaced wavelengths as a function of input voltage. When the modulated channels are spectrally demultiplexed and detected using the same threshold level, a digital code differentiating the analog input voltage levels is generated as shown in Fig. 2. This code is known as a cyclic thermometer code. As the coded value increases, only one digit changes at a time, facilitating error correction . The number of resolved values over a voltage range of is given by twice the number of input wavelengths (). The minimum resolvable voltage is . The code repeats for voltages over . The bits of resolution b is given Eq. (2) as
The electro-optic modulators used in this design allow for sampling rates beyond the capabilities of conventional electronics. MZMs with bandwidths exceeding 40 GHz and approaching 100 GHz have been realized using several technologies [14–16]. Therefore this approach could be used to digitize signals with bandwidths in excess of 40 GHz.
3. Results and discussion
This section investigates the required power levels out of the sources. The analysis is very similar to the analysis of a high speed fiber optic system. We assume that the samplers provide a Gaussian shaped time-gate with full width at half maximum (FWHM) of τ seconds at a sampling rate of samples per second. Figure 3(a) shows the received pulses at a certain wavelength. The detection threshold level is . Because of noise and other impairments there is a certain region between and around that cannot be clearly described as either above or below the threshold. Pulses with amplitudes higher than or lower than are definitively labeled as a 1 or 0, respectively. Using the transfer function of the quantizer at the specific wavelength one can convert the range from to to a voltage range as shown in Fig. 3(c). This will be the minimum voltage resolution that can be achieved. Any voltage swing less than will not generate enough power swing that will give a transition from a 1 to a 0 or vice versa, hence cannot be resolved. Furthermore the phase shift of the transfer function for adjacent wavelengths should be such that as one wavelength makes a transition from 0 to 1 adjacent wavelengths should definitely be 0 or 1 as illustrated in Fig. 3(c). This condition determines the minimum phase shift between transfer function at different wavelengths or . This in turn determines for a given as described earlier. The calculation of and can be done using fiber optic communication system analysis. For this purpose the model shown in Fig. 3(b) is used.
We assume that input pulses will be received as either a 1 or a 0. Our pulse train is equivalent to a return to zero (RZ) transmission with low extinction ratio and low duty cycle. The minimum and maximum levels that allow error-free operation of this transmission system will also allow error-free operation of the ADC. The least resolvable voltage, , can be calculated once these limits are found. Then, the maximum number of bits or resolution can be determined using the formula in Eq. (3)
In this formulation it is assumed that . In a fiber optic transmission system error free operation is defined as operation with a bit error rate (BER) of 10−9 or less. For 40 Gb/s operation the average received power in a back to back RZ system with good extinction ratio and duty cycle of for 10−9 BER is about −23.5 dBm . In such a RZ system the average power in terms of peak power is . is the unmodulated CW power output in the fully-on state of the MZM. It is usually assumed that the extinction ratio is really high so that and . In the digital communication system that represents the ADC the average received power to a good approximation is . Therefore to get the same average power for a good BER the peak power should be increased by a factor of . This is the power penalty due to low duty cycle. Typical values are at the order of 25 and the corresponding power penalty is about 7 dB. In addition for good resolution and should be close to one another, i.e., extinction ratio should be low. Low extinction ratio introduces another power penalty, given in Eq. (4) as .
The average power must be increased by this factor to match the BER of the system with high extinction ratio. Using the transfer function of the quantizer and , where . Letting in Eq. (1), we can express as:
Using this formula and we estimate a power penalty of 13.5 dB for 6 bit operation. Combining this penalty with the penalty of 7 dB for low duty cycle we get a total penalty of 20.5 dB. This is about the loss of 70 km of fiber. The ADC is therefore similar to a typical WDM communications link as far as power budgets are concerned. Error free operation requires a received peak power of about −3 dBm or 0.5 mW. Assuming a 10 dB insertion loss for the quantizer, sampler and two AWGs, the required input power per channel is about 5 mW. This power is readily achievable using conventional laser diodes.
The temporal sampling method and parameters also affect ADC performance. According to a previous analysis of the proposed ADC based on signal-to-noise ratio calculations , the resolution and input power reported here are obtainable when sampling with a Gaussian aperture 5 ps wide (FWHM) and an rms jitter of 0.2 ps.
The spectral spacing and MZM length offset are also feasible. The spectral spacing must be large enough to avoid spectral overlap, and small enough to avoid significant dispersion in that would lead to code nonlinearity. For a 20 GHz signal, the standard 100 GHz ITU spacing should be sufficient. Sampling before demultiplexing increases each channel’s bandwidth, requiring increased channel spacing This spectral spacing determines the required length offset . For a given spectral grid, determines the spacing between transfer functions at different wavelengths along the voltage axis. Equal spacing is achieved if the phase of the transfer function changes by between two adjacent channels separated in frequency by , where is an integer. Applying this condition to Eq. (1):
The voltage spacing between transfer functions must also be large enough to insure that only one channel at a time lies in the uncertain power region, as shown in Fig. 3. Choosing m to satisfy this condition leads to a ~200 μm. This offset is readily achieved by varying the half angles of the y-branch splitters of the MZM, as shown in Fig. 1. Additionally, a DC biased section in one arm could fine-tune the phase offset and stabilize the MZM during operation.
The source wavelengths may also drift. This increases by shifting transfer functions with respect to each other. For a typical wavelength-locked diode drift of 5 pm, increases by less than 1 dB based on Eq. (5). Therefore the ADC is robust to wavelength drift.
We introduce a novel photonic ADC design that resembles a WDM digital link with an unbalanced MZM between the transmitters and receivers. We show that the required MZM fabrication and WDM spectral grid are well within the capabilities of existing technology. A reasonable optical source power is predicted to deliver 6 bits of resolution at 40 GS/s. Higher sampling rates ~100 GS/s are possible due to the high bandwidth of MZMs.
This work was supported by National Science Foundation (NSF) Grant ECCS-0702087.
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