Signal Separation and Target Localization for FDA Radar

Abstract

Frequency diverse array (FDA) radar have attracted great interests due to the range-angledependent transmit beampattern which is different from phased array radar providing only angle-dependent transmit beampattern. In this paper, we firstly proposed a receiver processing strategy based on signal separation method which eliminates the need for employing a bank of bandpass filters at the receiver of FDA radar. In the proposed separation scheme, the received signal at each receiving element was separated into M channels, where M represents the transmitting element number. After time-invariant processing of the separated signal, the angle and range were estimated by two-stage multiple signal classification (MUSIC) algorithm. For velocity estimation, we proposed a novel unambiguous velocity estimation algorithm. This novel algorithm was implemented to calculate the phase of each element and then the differential phase within the adjacent elements is calculated. The velocity of the target was estimated by the differential phase. This mechanism for extending the Nyquist velocity range is that the differential phase of the two adjacent channels has a much smaller variance than the individual channel phase estimated. All estimated parameter performance is verified by analyzing the Cramér-Rao lower bound (CRLB) and the root mean square errors (RMSE).

Frequency diverse array beampattern synthesis method with low sidelobes by integrating mayfly algorithm and convex programming

“…Due to its unique range dependent characteristics, the FDA has attracted extensive attention from researchers since its proposal. By adding a small frequency offset along the array, FDA can provide a range-dependent beampattern, which makes it a great potential for applications in target localization [2][3][4] and mainlobe interference suppression [5,6]. However, the conventional FDA with uniform linear frequency offset exhibits a range-angle coupled S-shaped beampattern, which leads to the inability to estimate the distance and angle of the target at the output of the FDA system without ambiguity.…”