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9.2.10 Modern Receiver Architectures

While the superheterodyne design remains the basis of most analogue receivers, rapid advances in semiconductor integration and digital signal processing have produced new receiver architectures that extend its principles into the digital domain. These designs achieve superior linearity, frequency agility, and selectivity while reducing component count and calibration requirements.

9.2.10.1 Software-Defined Radios (SDRs)

In the software-defined radio (SDR) architecture, the analogue front end performs minimal processing—typically only low-noise amplification, filtering, and automatic gain control. The signal is then digitized by high-speed analogue-to-digital converters (ADCs), and all subsequent operations—down-conversion, filtering, demodulation, and decoding—are executed in the digital domain by digital down-converters (DDCs), field-programmable gate arrays (FPGAs), or general-purpose processors.

The SDR approach provides exceptional flexibility: a single hardware platform can receive multiple signal types (AM, FM, PSK, QAM, or OFDM) and reconfigure its parameters entirely in software. This capability enables multi-standard and multi-band operation across cellular, satellite, and tactical communications systems [7].

9.2.10.2 Cognitive And Adaptive Receivers

Building upon SDR flexibility, cognitive receivers employ artificial-intelligence and machine-learning algorithms to sense and adapt to their electromagnetic environment. These systems dynamically adjust frequency, bandwidth, and modulation to mitigate interference, avoid congestion, and exploit under-used spectrum. They can perform blind signal classification, adaptive beamforming, and interference cancellation, enabling robust communication in contested or highly variable conditions [8].

9.2.10.3 Performance Characteristics Of Modern Receivers

Contemporary receiver front ends typically incorporate low-noise amplifiers (LNAs) with noise figures below 1 dB, digital automatic gain control (AGC) for real-time dynamic-range optimization, and DSP-based filters whose bandwidth and selectivity can be adjusted instantaneously. Combined with high-resolution ADCs and precision frequency synthesizers, these systems achieve sensitivities approaching the thermal-noise limit, phase-noise levels below –120 dBc/Hz at 10 kHz offset, and linear dynamic ranges exceeding 100 dB.

Collectively, these developments have transformed the receiver from a fixed-function circuit into a reconfigurable, intelligent subsystem. Modern architectures retain the superheterodyne’s essential principle of frequency translation but implement it through digitally controlled, adaptive, and self-calibrating technologies—offering unprecedented flexibility, sensitivity, and spectral efficiency across a wide range of communications applications.

Endnotes

  • [7] Bateman, A., and I. Paterson, Software-Defined Radio: Enabling Technologies, 2nd ed., Wiley, 2022. back
  • [8] Chandrashekar, K., A. Ameen, and H. Zhao, “Deep Learning-Based Cognitive Radio Receivers: A Survey,” IEEE Communications Surveys & Tutorials, vol. 26, no. 1, pp. 350–389, 2024. back