Skip to main content

Amplitude Shift Keying (ASK)


Amplitude Shift Keying (ASK)

Theory:

Amplitude Shift Keying (ASK) is one of the simplest digital modulation techniques. In this method, a carrier signal is switched ON or OFF to represent binary data. In a binary ASK (BASK) system, binary symbol '1' is represented by transmitting a sinusoidal carrier of amplitude Ac and frequency fc for a duration Tb (bit duration). Binary symbol '0' is represented by the absence of the carrier during the same duration.

This scheme is also called On-Off Keying (OOK). It can be implemented by controlling a carrier oscillator using the binary input signal. When the input is '1', the carrier is transmitted; when the input is '0', the carrier is not transmitted.

ASK Transmitter:

ask_image
Fig 1: BASK (OOK) Transmitter

ASK Receiver:

At the receiver, the objective is to determine whether the carrier is present or absent during each bit interval. A coherent detector (correlator or matched filter) is commonly used.

  • For binary '1' (carrier present): the detector output is proportional to the received signal energy, approximately Ac2 Tb / 2.
  • For binary '0' (carrier absent): the detector output is close to zero.

A threshold detector compares this output with a predefined value to decide whether a '1' or '0' was transmitted.

ask_image
Fig 2: Coherent BASK Receiver

Constellation Diagram of ASK


ask_image
Fig 3: Constellation Diagram of BASK

The ASK signal is represented in a one-dimensional signal space using a single orthonormal basis function.

A single orthonormal basis function is a waveform with unit energy, i.e., \[ \int_0^{T_b} \phi_1^2(t)\, dt = 1 \] Only one basis function is required because ASK varies only in amplitude (one dimension).

The carrier signal \( \cos(2\pi f_c t) \) has energy \( \frac{T_b}{2} \) over the interval \( 0 \le t \le T_b \), so it is scaled to obtain a unit-energy basis function: \[ \phi_1(t) = \sqrt{\frac{2}{T_b}} \cos(2\pi f_c t), \quad 0 \le t \le T_b \]

Any transmitted signal can then be written as: \[ s(t) = a \, \phi_1(t) \] where a is a scalar coefficient representing the signal in signal space.

Using this basis function, the transmitted signals are:

  • For binary '1': \[ s_1(t) = \sqrt{E_b} \, \phi_1(t) \] This corresponds to a point at distance \( \sqrt{E_b} \) from the origin.
  • For binary '0': \[ s_2(t) = 0 \] This corresponds to the origin.

Therefore:

  • Energy of symbol '1' = \(E_b\)
  • Energy of symbol '0' = 0
  • Distance between the two signal points: \[ d_{12} = \sqrt{E_b} \]

The constellation lies along a single axis (in-phase axis), since ASK uses only amplitude variation and no phase component.

Effect of Noise

ASK with AWGN:

In the presence of Additive White Gaussian Noise (AWGN), the received signal is:
\( y(t) = x(t) + n(t) \)
where:
x(t) = transmitted ASK signal
n(t) = noise

The noise introduces random variations in amplitude, which may cause incorrect detection of symbols. Performance depends on the signal-to-noise ratio (SNR).

ASK with Rayleigh Fading:

In wireless channels, multipath propagation can cause fading. The received signal is modeled as:
\( y(t) = h \cdot x(t) + n(t) \)
where:
h = channel coefficient (random amplitude and phase)
x(t) = transmitted signal
n(t) = noise

The factor h causes fluctuations in the signal amplitude, making detection more difficult. System performance depends on both SNR and channel conditions.

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Amplitude, Frequency, and Phase Modulation Techniques (AM, FM, and PM)

📘 Overview 🧮 Amplitude Modulation (AM) 🧮 Online Amplitude Modulation Simulator 🧮 MATLAB Code for AM 🧮 Q & A and Summary 📚 Further Reading Amplitude Modulation (AM): The carrier signal's amplitude varies linearly with the amplitude of the message signal. An AM wave may thus be described, in the most general form, as a function of time as follows .                       When performing amplitude modulation (AM) with a carrier frequency of 100 Hz and a message frequency of 10 Hz, the resulting peak frequencies are as follows: 90 Hz (100 - 10 Hz), 100 Hz, and 110 Hz (100 + 10 Hz). Figure: Frequency Spectrums of AM Signal (Lower Sideband, Carrier, and Upper Sideband) A low-frequency message signal is modulated with a high-frequency carrier wave using a local oscillator to make communication possible. DSB, SSB, and VSB are common amplitude modulation techniques. We find a lot of bandwi...

Analog vs Digital Modulation Techniques | Advantages of Digital ...

Modulation Techniques Analog vs Digital Modulation Techniques... In the previous article, we've talked about the need for modulation and we've also talked about analog & digital modulations briefly. In this article, we'll discuss the main difference between analog and digital modulation in the case of digital modulation it takes a digital signal for modulation whereas analog modulator takes an analog signal.  Advantages of Digital Modulation over Analog Modulation Digital Modulation Techniques are Bandwidth efficient Its have good resistance against noise It can easily multiple various types of audio, voice signal As it is good noise resistant so we can expect good signal strength So, it leads high signal-to-noise ratio (SNR) Alternatively, it provides a high data rate or throughput Digital Modulation Techniques have better swathing capability as compared to Analog Modulation Techniques  The digital system provides better security than the a...

Shannon Limit Explained: Negative SNR, Eb/No and Channel Capacity

Understanding Negative SNR and the Shannon Limit Understanding Negative SNR and the Shannon Limit An explanation of Signal-to-Noise Ratio (SNR), its behavior in decibels, and how Shannon's theorem defines the ultimate communication limit. Signal-to-Noise Ratio in Shannon’s Equation In Shannon's equation, the Signal-to-Noise Ratio (SNR) is defined as the signal power divided by the noise power: SNR = S / N Since both signal power and noise power are physical quantities, neither can be negative. Therefore, the SNR itself is always a positive number. However, engineers often express SNR in decibels: SNR(dB) When SNR = 1, the logarithmic value becomes: SNR(dB) = 0 When the noise power exceeds the signal power (SNR < 1), the decibel representation becomes negative. Behavior of Shannon's Capacity Equation Shannon’s channel capacity formula is: C = B log₂(1 + SNR) For SNR = 0: log₂(1 + SNR) = 0 When SNR becomes smaller (in...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for Bit Error Rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. BER = (number of bits received in error) / (total number of tran...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...

Comparing Baseband and Passband Implementations of m-ary QAM

  Let's assume your original message signal is: 1, 0, 1, 1, 1, 0, 1, 1, 0, 1. If you want to modulate it using 4-QAM, then your baseband signal will be: 4-QAM Symbols (Real + jImag) Symbol 0: -1.00 + j-1.00 Symbol 1: 1.00 + j-1.00 Symbol 2: -1.00 + j-1.00 Symbol 3: 1.00 + j-1.00 Symbol 4: 1.00 + j1.00   Now, if you want to transmit them through a typical wireless medium, you need to modulate the baseband signal with a carrier frequency (in our case, 50 Hz). The resulting passband signal looks like this               In the above code, the symbol rate is 5 symbols per second.   Detailed explanation 4-QAM Constellation Points In typical normalized 4-QAM, each symbol is mapped to a complex number: Bits Symbol (I + jQ) 00 -1 - 1j 01 -1 + 1j 11 +1 + 1j 10 +1 - 1j Each point lies on a square centered at the origin with I and Q values either +1 or -1. ...

Comparing Baseband and Passband Implementations of ASK, FSK, and PSK

📘 Overview 🧮 Baseband and Passband Implementations of ASK, FSK, and PSK 🧮 Difference betwen baseband and passband 📚 Further Reading 📂 Other Topics on Baseband and Passband ... 🧮 Baseband modulation techniques 🧮 Passband modulation techniques   Baseband modulation techniques are methods used to encode information signals onto a baseband signal (a signal with frequencies close to zero), allowing for efficient transmission over a communication channel. These techniques are fundamental in various communication systems, including wired and wireless communication. Here are some common baseband modulation techniques: Amplitude Shift Keying (ASK) [↗] : In ASK, the amplitude of the baseband signal is varied to represent different symbols. Binary ASK (BASK) is a common implementation where two different amplitudes represent binary values (0 and 1). ASK is simple but susceptible to noise...

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...(with Online Simulator)

🧮 MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together 🧮 MATLAB Code for M-ary QAM 🧮 MATLAB Code for M-ary PSK 📚 Further Reading MATLAB Script for BER vs. SNR for M-QAM, M-PSK, QPSK, BPSK % Written by Salim Wireless clc; clear; close all; num_symbols = 1e5; snr_db = -20:2:20; psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) data_symbols = randi([0, psk_order-1], 1, num_symbols); modulated_signal = pskmod(data_symbols, psk_order, pi/psk_order); received_signal = awgn(modulated_signal, snr_db(j), 'measured'); demodulated_symbols = pskdemod(received_signal, psk_order, pi/psk_order); ber_psk_results(i, j) = sum(data_symbols ~= demodulated_symbols) / num_symbols; end end for i...