Abstract
Frequency diverse array (FDA) radar have attracted great interests due to the range-angle-dependent 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 Cramer-Rao lower bound (CRLB) and the root mean square errors (RMSE).
Highlights
Phased array radar lies at the heart of many aspects of multi-target detection and interference suppression because it provides directional gain by steering its beam electronically
Frequency diverse array (FDA) radar has been studied extensively in recent years, there is a surprising paucity of empirical research focusing on received signal processing and parameters estimation
We have proposed a common framework for FDA radar received signal processing which can be interpreted as signal separation instead of full-band coherent matched filter and the target localizing in angle and range dimension and detecting the target velocity
Summary
Phased array radar lies at the heart of many aspects of multi-target detection and interference suppression because it provides directional gain by steering its beam electronically. Frequency diversity array (FDA) radar has received much attention in recent years due to its range-angle-dependent transmit beampattern properties since it was firstly proposed by Antonik et al [1]. Reference [15] build a closed-form and range-angle decoupled mathematical and designed a mathematically optimal method for FDA focusing beamforming This dot-shaped beampattern is not suitable for range deceptive jamming suppression. These parameter estimation methods assume that the FDA receiver is a full-band coherent architecture for the monochromatic signal model and the receiving beampattern is time-invariant. In 2019, Guo et al [29] concentrated on a robust method on the condition of image coregistration and channel phase errors for FDA-SAR radar and He et al [30] demonstrated a robust radial velocity estimation algorithm based on joint pixel normalized sample covariance matrix and shift vector. Where Xobserve ∈ CN×L , N denotes the receiving element number and L denotes the snapshot number
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