Innovative Multi-Target Estimating with Clutter-Suppression Technique for Pulsed Radar Systems

Abstract

Linear frequency modulation (LFM) waveforms have high Doppler-shift endurance because of the relative wide modulation bandwidth to the Doppler variation. The Doppler shift of the moving objects, nevertheless, constantly introduces obscure detection range offsets despite the exceptional Doppler tolerance in detection energy loss from LFM. An up-down-chirped LFM waveform is an efficient scheme to resolve the true target location and velocity by averaging the detection offset of two detection pairs from each single chirp LFM in opposite slopes. However, in multiple velocity-vary-target scenarios, without an efficient grouping scheme to find the detection pair of each moving target, the ambiguous detection results confine the applicability of precise target estimation by using these Doppler-tolerated waveforms. A succinct, three-multi-Doppler-shift-compensation (MDSC) scheme is applied to resolve the range and velocity of two moving objects by sorting the correct LFM detection pair of each target, even though the unresolvable scenarios of two close-by targets imply a fatal disability of detecting objects under a cluttered background. An innovative clutter-suppressed multi-Doppler-shift compensation (CS-MDSC) scheme is introduced in this research to compensate for the critical insufficient of resolving two overlapping objects with different velocities by solely MDSC. The CS-MDSC has been shown to successfully overcome this ambiguous scenario by integrating Doppler-selective moving target indication (MTI) filters to mitigate the distorting of near-zero-Doppler objects.

Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes

“…A noise-resistant signal processed by convolution was shown in Figure 11 d. Matched filter gain was retained by accumulating the amplitude of the signal within the kernel, and matched filtering convolution output increased significantly compared to the original noisy signal. This matched filtering technique was advantageous to identify the signal location and enhance the noise durability of the systems [ 22 ].…”

A New Side-Looking Scheme for Speed Estimation and Detection of Tangential Slow-Moving Targets

“…As is known, the radial velocity of a moving object usually causes the frequency of the received signal to deviate from the carrier frequency, which is called the Doppler frequency [11,12]. The measurement of target velocity by this method is based on the Doppler frequency of the target [13]. However, the Doppler frequency is insensitive to targets with only a tangential velocity or weak radial velocity [14], the reason being that the velocity of a moving object is a vector, and the position of the target relative to the observation radar will affect the radial and transverse components of its velocity.…”

Design Of Digital Code Using Trellis Code to Improve Multiple Moving Target Detection in Doppler Radar

“…Nieh, et al (6) proposed an Innovative method for Multi-Target Estimation with the help of the Clutter-Suppression Technique for Pulsed Radar Systems. However, the designed method fails to detect multi-moving targets as it is used to detect static targets.…”