In the infancy of radar, signal-to-noise ratio was a popular measure of the effectiveness of a radar receiving system for combating noise. Increased signal power, with respect to average noise power, made it easier to distinguish a signal from background noise. Further, the parameters of a target echo, such as amplitude, (range) delay, and doppler frequency shift, could be estimated more accurately with increased signal-to-noise ratio. It was apparent that both parameter estimation and detection were dependent on signal-to-noise ratio - at least in a qualitative sense.

Chapter Contents:

• 5.1 Introduction
• 5.2 Maximizing Signal-to-Noise Ratio
• 5.3 The Matched Filter
• 5.4 Example I: Matched Filter Approximation for a Rectangular rf Pulse
• 5.5 Example II: Matched Filter Approximation for a Linear fm Pulse with Rectangular Envelope
• 5.6 Example III: Matched Filter Approximation for Finite Pulse Train (Comb Filter)
• 5.7 Example IV: Matched Filter for Digital-Coded Pulse with Rectangular Envelope
• 5.8 The Stationary Clutter Filter (Urkowitz Filter)
• 5.9 Parameter Estimation and Matched Filtering
• 5.10 Remarks
• Problems
• References

Inspec keywords: matched filters; optimisation; radar signal processing

Other keywords: radar receiving system; signal-to-noise ratio maximization; signal power; matched filter; parameter estimation; Doppler frequency shift

Subjects: Optimisation techniques; Radar equipment, systems and applications; Filters and other networks; Signal processing and detection