What is needed to improve signal clarity in the presence of strong interference?

Employing digital signal processing is essential for improving signal clarity in the presence of strong interference. Digital signal processing (DSP) techniques can effectively analyze, filter, and manipulate signals to mitigate the effects of noise and interference. Through various algorithms, DSP can distinguish the desired signal from unwanted noise, enhance the signal quality, and enable more reliable communication.

For instance, DSP can implement techniques such as adaptive filtering, which continuously adjusts to varying levels of interference, or error correction methods that allow the system to recover lost or corrupted data. This results in clearer reception and better overall performance, particularly in complex environments with significant interference.

On the other hand, while stronger antennas may increase the overall signal strength, they do not inherently mitigate interference. Adjustable filters can help manage certain types of interference but may not be as effective in dynamic conditions. Analog modulation techniques are generally more susceptible to noise compared to digital methods and do not provide the same level of responsiveness and adaptability that DSP offers.