Tag: Equalizer

Bandwidth, power and DSP correspond to the traditional trio of raw materials, energy and knowledge
DSP / Wireless/SDR

Why Building an SDR Requires DSP Expertise

In an introduction to signals, we discussed the idea that the any activities around us, starting from subatomic particles to massive societal networks, are generating signals all the time. Since mathematics is the language of the universe and digital signals are nothing but quantized number sequences, it is fair to say that the workings of the universe can be mapped to an infinitely large set of signals. With these number sequences in hand, an electronic computer can process the signals and either extract the information about the surrounding real world phenomena or even better influence its target environment. We saw

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A trellis for implementing Viterbi algorithm
Wireless/SDR

Maximum Likelihood Sequence Estimation (MLSE Equalizer)

In the discussion on a wireless channel, we saw that an increased amount of Inter-Symbol Interference (ISI) occurs for high data-rate wireless systems that impacts the system performance to a significant extent. The performance of a linear equalizer suffers from spectral nulls. A Decision Feedback Equalizer (DFE) recovers much of the performance losses due to ISI but it is susceptible to error propagation. In 1972, David Forney published a paper titled "Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference" in which he proposed the idea of sequence estimation. For this purpose, there was an implicit assumption

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Earth lies in the Goldilocks Zone of our solar system
Wireless/SDR

Diversity in Wireless Communication Systems

Diversity is one of those few ideas that are extremely dumb and extremely clever at the same time. It can be explained in one sentence as well as in a whole book. The basic idea, nevertheless, is quite simple. What is Diversity? Consider the following two different cases. Many phenomena in the world need a series of outcomes to succeed. For instance, for life to exist in the cold and dark universe, we need a star to provide energy as heat. A planet is also required as a home. Furthermore, this planet must reside in the Goldilocks Zone of that

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Due to a Sampling Clock Offset (SCO), a fast Rx clock collects extra samples
Wireless/SDR

Effect of Sampling Clock Offset on a Single-Carrier Waveform

We have discussed before the distortion caused by a symbol timing offset on the communication waveform. We have also derived a maximum likelihood estimate of the clock phase offset. In this article, we describe the impact of a sampling clock offset in a single-carrier waveform, also commonly known as a clock frequency offset or timing drift. A clock frequency offset is defined as the rate mismatch between the Tx and Rx clocks. Just like a carrier phase and frequency offset, the clock used to sample the incoming continuous-time signal at a rate $T_S=1/F_S$ contains a phase and frequency offset as

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