Multiband Radar Signal Coherent Fusion Processing With IAA and apFFT

Abstract

This letter proposes a new method for multiband radar signal fusion by making use of all-phase fast Fourier transform (apFFT) algorithm and iterative adaptive approach (IAA). Central to the proposed method are, first, the mutual incoherence compensation between various subbands by apFFT algorithm, and second, the application of IAA to the mutually coherent subband measurements for signal fusion. Taking advantage of both algorithms, the proposed method effectively improves the range resolution with low sidelobes and performs robustly in the presence of noise. In particular, it requires no model information and therefore enables flexible implementation for practical application. The feasibility and effectiveness of the proposed algorithm are validated through both numerical simulations and raw data processing results.Index Terms-All-phase fast Fourier transform (apFFT), iterative adaptive approach (IAA), mutual-coherence processing, signal fusion.

Processing Technology Based on Radar Signal Design and Classification

“…With the increasing energy shortage [154][155][156][157][158], pollutant generation [159][160][161][162][163], and the rapid development of largescale integrated circuits, the application of radar has gradually changed from military to civilian [164,165]. It has been found that the development of radar [166][167][168][169][170] in the field of industrial products is unprecedented in our daily life, covering transportation, search and tracking, navigation, and so on. Direct or indirect acquisition of high-quality and stable radar signals is the main research focus of researchers [171][172][173].…”

“…Model-based frequency algorithms [166] Resolution enhancement Fourier transformation Coherent processing [167] Integrate target energy Linear transformations Coprime sampling [168] Power spectrum density Ambiguity function of matched filter Coherent fusion scheme [169] Range resolution with low sidelobes Estimate the phase difference 9 International Journal of Aerospace Engineering of the RS are studied by Griffiths [99] which can reduce the noise floor in addition to the suppression of strong interference lines such especially at Doppler frequencies -21 Hz and -9 Hz. Raju and Reddy [100] proposed a nonparametric and hyperparameter-free iterative adaptive approach to estimate the power spectral density for getting the accurate amplitude and frequency of the simulated data with less computational time.…”

Multiband Radar Signal Coherent Processing Algorithm for Motion Target

“…However, these methods require overlapped observation frequency bands. In [6,7], all-phase fast Fourier transform (apFFT) spectral analysis was proposed to obtain the phase factor between subbands. It shows good performance when estimating incoherent factors without the prior information of scattering centers numbers.…”

High-Resolution Imaging Based on Coherent Processing for Distributed Multi-Band Radar Data

“…As the next generation radar, distributed radar has great promise for various sensing applications. Distributed multi-band radar can be used to synthesize large bandwidth for achieving highresolution radar imagery of many targets [1][2][3][4][5]. Actually, there are two challenges for this application.…”

“…Pole rotation method [3,4] is used to obtain phase ICP; however, it is required that all the subbands have the same bandwidth. In [5], a data based coherent compensation method is used for coherent processing, but it is easily influenced by noise due to lack of de-noising process.…”