Echo Signal Simulation and Imaging from Point Targets Using 2D Arrays

Simulation and Imaging of Echo Signals from Point Targets Using 2D Arrays

In radar and acoustic signal processing, simulating and analyzing echo signals from point targets facilitates the study of array signal processing algorithms and imaging techniques. This article presents a simulation method for receiving point target echo signals using 2D arrays and employs spherical coordinates for imaging processing.

Echo Signal Simulation Point targets scatter signals in all directions in space, and 2D arrays capture these echoes. During simulation, the target is typically assumed to be at a known position. The time delays and phase shifts at each receiving element of the array are calculated to mimic real echo signals. Since array signals exhibit spatial sampling characteristics, different spatial distributions impact the final imaging resolution.

Array Signal Processing Signals received via 2D arrays can be processed using methods like beamforming or matched filtering to enhance valid signals and suppress noise. The core of array signal processing lies in leveraging the spatial correlation among multiple receiving elements to improve target detection accuracy and imaging quality.

Spherical Coordinate Imaging While traditional imaging methods often use Cartesian coordinates, spherical coordinates better align with signal propagation traits in scenarios such as radar or sonar imaging. By mapping array-received signals to spherical coordinates, azimuth and elevation angle information of targets can be more intuitively represented, leading to more precise imaging outcomes.

Applications and Extensions This approach is applicable not only to radar signal processing but also to fields like sonar and medical ultrasound imaging. By adjusting the array's geometry or incorporating higher-dimensional signal processing algorithms, imaging quality can be further enhanced, and application scope expanded.