An analog-to-digital converter, also known as ADC, is a digital circuit used to convert analog signals into digital format.

The conversion of analog signals into digital format is crucial for their processing with the help of digital systems like microprocessors, microcontrollers, digital signal processors (DSPs), etc. Therefore, ADCs are important components in several digital systems like computers and other digital devices.

In this chapter, we will explain in detail the concept, components, types, and applications of analog to digital converters.

What is an Analog to Digital Converter?

An analog to digital converter is a digital circuit designed to perform conversion of analog signals into digital data format. It is also known ADC. Analog to digital converters are essential components in digital systems like computers, data processors, digital communication systems, etc.

The following figure depicts the block diagram of an analog to digital converter −

From this figure, it is clear that the input to an analog to digital converter is an analog or natural signal and the output is a digital or discrete time signal.

In practical systems, the analog to digital converter serves as an interface between external environment and a digital system.

Working of Analog to Digital Converter

The working of an analog to digital converter involves the processes explained below −

Inputting Analog Signal

An analog to digital converter takes an analog signal as input. The analog signal could be a voltage, current, temperature, pressure, or any other physical quantity that changes continuously with time.

Sampling

At this stage, the analog to digital converter samples the input analog signal at regular intervals of time. These time intervals are defined in terms of sampling rate.

In the sampling process, the analog signal that varies continuously over time is measured at discrete instants of time to collect discrete values of the signal.

Quantization

Quantization is a process of assigning a digital or discrete value to each sampled value of the analog signal. In the process of quantization, the range of all possible analog values is divided into a finite number of discrete digital values.

Encoding

Encoding is a process of converting the quantized digital values into their equivalent binary numbers. These encoded binary numbers represent the sampled analog values in the digital format.

The resolution, accuracy, and precision of the analog to digital converter is determined by the number of bits used for encoding.

Outputting Digital Signal

At the end, the analog to digital converter produces a digital signal as output. This output digital signal can be processed, stored, or transmitted by digital systems.

Performance Factors of Analog to Digital Converters

The performance of an analog to digital converter can be evaluated using several different factors. The following two are the most important −

Signal-to-Noise Ratio (SNR) of ADC

The Signal-to-Noise Ratio (SNR) of an analog to digital converter is defined as the measure of ability of the converter to differentiate between the desired signal and unwanted noise signal.

Mathematically, the SNR of an analog to digital converter is expressed as the ratio of the power of the electrical signal (that represents the useful information) to the power of the noise signal (that represents the unwanted disturbances).

In practice, the SNR is expressed in decibels (dB) and the formula for calculating the SNR of an ADC is given below,

$$\mathrm{SNR \: of \: ADC \: = \: 10 \: \times \: log ( \frac{Electrical \: Signal \: Power}{Noise \: Signal \: Power})}$$

From this expression, it is clear that a higher SNR represents better performance of the analog to digital converter. In other words, an analog to digital converter having a high SNR distinguishes the electrical signal from the noise signal more clearly. Therefore, it is desirable that the analog to digital converter have a high SNR so that it can accurately capture and digitalize smaller analog signals even in the presence of noise signals.

Bandwidth of Analog to Digital Converter

The bandwidth of an analog to digital converter is nothing but the range of frequencies that it can sample and digitalize accurately. The sampling rate of the analog to digital converter determines its bandwidth. Where, the sampling rate is defined as the number of samples of the analog signal taken per second.

According to the Nyquist-Shannon sampling theorem, the maximum sampling rate of an analog to digital converter should be at least double of the maximum frequency component present in the input analog signal. It is an important factor to avoid misidentification of the signal that can introduce distortion or error in sampling.

Let us take an example to understand this, consider an analog to digital converter having a maximum sampling rate of 150 kHz, then its bandwidth should be limited to frequencies less than 75 kHz to prevent distortion.

Hence, it is important that the analog to digital converter should have a sufficient bandwidth to capture the high-frequency analog signals accurately.

Types of Analog-to-Digital Converters

In digital electronics, different types of analog-to-digital converters (ADCs) are designed to fulfil the requirements of different applications.Some of common types of analog-to-digital converters include the following −

• Flash ADC
• Semi-Flash ADC
• Successive Approximation Register ADC
• Sigma-Delta ADC
• Pipelined ADC

Flash ADC

Flash ADC, also known as Direct ADC, is the fastest ADC available. This type of ADC has sampling rates of the order of gigahertz. The flash ADCs offer such high speeds because they use a bank of comparators that can operate in parallel, each for a certain voltage range.

However, the flash ADCs are relatively larger in size and costlier than other types of ADCs. Also, they consume relatively more power. In the case of a flash ADC, if “n bits” is resolution of the ADC, then it requires (2ⁿ – 1) comparators in its bank. For example, a flash ADC having 8-bit resolution requires (2⁸ – 1 = 255) comparators.

The flash analog-to-digital converters are mainly used in digitization of video signals or fast signals in optical storage.

Semi-Flash ADC

The Semi-Flash ADC is a type of analog-to-digital converter that combines the fast speed of a flash ADC with a reduced number of comparators. These two features together make the semi-flash ADC compact in size and cost effective as compared to a flash ADC.

In a semi-flash analog to digital converter, two separate flash converters are used that operate in parallel. Each converter has a resolution that is half the number of bits of the whole semi-flash ADC. One converter handles the most significant bits (MSBs) and the other converter handles the least significant bits (LSBs) of the signal.

After processing, the outputs produced by the two converters are combined to generate the final digital output of the semi-flash ADC.

The most significant advantage of the semi-flash analog to digital converter is that it requires a lesser number of comparators than an ordinary flash ADC with maintaining the high-speed operation. This results in smaller size, reduced complexity and cost. However, it takes more time to complete the conversion process because it requires some additional time to combine the partial results of the two separate converters.

The semi-flash analog-to-digital converters are widely used in applications that require a balance between speed, resolution, and cost.

Successive Approximation Register ADC

The Successive Approximation Register Analog to Digital Converter, abbreviated as SAR ADC, is a type of analog to digital converter that uses a series of comparisons to determine each bit of the digital output.

The SAR ADC starts working by initializing its internal approximation registers. Then, it takes a sample of the input analog signal and stores it steady until the conversion process completes.

After that a binary search algorithm is utilized to perform approximation of the input signal. This process starts by setting the most significant bit (MSB) of the output digital signal to the highest value and compares this value with the sampled input analog signal.

In the next step, the SAR ADC compares the sampled input analog signal with the output of an internal digital-to-analog converter that produces a signal proportional to the current approximation of the input signal.

Depending on results of the comparison, the SAR ADC successively changes the value of each bit in the digital output until the desired output is obtained. Once all bits of the digital output have been determined, the SAR converter completes the conversion process. The digital output obtained represents the digital approximation of the sampled input analog signal.

The SAR analog-to-digital converters are commonly used in various applications, such as consumer electronics, medical instruments, data acquisition systems, etc.

Sigma-Delta ADC

The Sigma-Delta Analog-to-Digital Converter, also represented as ΣΔ ADC, is a type of analog to digital converter that provides a high resolution and is used in applications that require precise measurement and signal processing like in audio recording, high-quality audio systems, sensor-based systems, precise instruments, etc.

The working of a sigma-delta ADC involves the following processes −

First, it samples the analog input signal at a frequency significantly higher than the Nyquist rate to capture more information about the input signal. This process is called oversampling.

Then, delta modulation is used to convert the oversampled analog signal into a series of digital pulses. In the process of delta modulation, the difference or delta between successive samples of the analog input signal is quantized and converted into digital form.

Now, the sigma-delta modulation is performed, in which a sigma-delta modulator is used to modulate the difference between the actual analog signal and its digital form. In this modulation, the quantization noise is pushed away from the desired frequency band and towards the higher frequencies.

After sigma-delta modulation, the digital signal is passed through a low-pass filter that removes the high-frequency noise that can be introduced during oversampling and sigma-delta modulation. This low-pass filter produces a high-resolution digital output by extracting the low-frequency components.

At the end of the conversion process, the digital signal is down-sampled (i.e., decimated) to decrease its sample rate to the desired output rate.

Pipelined ADC

The Pipelined Analog to Digital Converter is a type of ADC which is similar to the SAR ADC, but it performs a coarse and refined conversion. It provides a balance between resolution and speed that make it suitable to use in communication systems, medical test equipment, multimedia, industrial control systems, etc.

A pipelined ADC works in multiple stages, where each stage completes a specific part of the analog-to-digital conversion. It is called pipelined ADC because all stages take place in a pipeline manner, in which the output of one stage enters into the next stage.

In the pipelined ADC, the analog input signal is divided into multiple subranges and each stage of the pipeline performs quantization of a subrange to convert the analog input signal into digital form. It is important to note that all stages of the pipelined ADC operate in parallel to provide a faster conversion rate.

The pipelined ADC uses various digital correction techniques such as digital calibration, error correction algorithms, and digital filtering to remove errors that can be introduced during the analog-to-digital conversion process. This improves the accuracy and reliability of the digital output.

This is all about some commonly used types of analog to digital converters (ADCs) in digital electronics.

Applications of Analog to Digital Converter

Analog-to-digital converters (ADCs) are used in various industries and fields where analog signals have to be processed, analyzed, or transmitted using digital systems like computers. Some common applications of analog to digital converters are listed below −

• In the field of digital signal processing, ADCs are used for converting analog signals obtained from sensors, microphones, or other analog devices into digital format for processing them using digital processors.
• In audio processing applications, ADCs are used to convert analog audio signals into digital format for storage, manipulation, and transmission in digital systems.
• ADCs are essential components in various data acquisition systems used in the field of scientific research, industrial automation, and instrumentation.
• In communication systems, ADCs are used to convert analog audio or video signals into digital format for transmission over communication channels.
• ADCs are used in radio receivers for digitization of received radio frequency (RF) signals.
• ADCs play an important role in several medical equipment and healthcare systems for converting various analog bio-signals and physiological parameters like heart rate, blood pressure, oxygen saturation, EEG signals, etc. into digital format to process them using digital systems.
• In automotive electronics, ADCs are used to convert analog signals received from sensors measuring parameters such as temperature, torque, speed, etc. into digital format for driver assistance and vehicle diagnostics.
• ADCs are also used in a wide range of consumer electronic devices such as smartphones, tablets, laptops, entertainment equipment, etc.

These are a few examples of the applications of analog-to-digital converters (ADCs) in various fields and industries.

Conclusion

In this chapter, we explained in detail about analog to digital converters, their types and applications. In conclusion, an analog to digital converter is an electronic circuit that can convert an analog input signal into a digital output signal.

ADCs are important components in several devices and systems used across various industries. This is because, the signals received in real-time like voice signals, signals from sensors, etc. are analog in nature and they cannot be processed using digital systems like computers. ADCs help to overcome this interfacing issue. Basically, ADCs act as an interface between an analog input device and a digital processing element.