A new Fractional Fourier Transform based monopulse tracking radar processor

Abstract

Conventional monopulse radar processors are used to track a target that appears in the look direction beam width. The distortion produced when additional targets appear in the look direction beam width can cause severe erroneous outcomes from the monopulse processor. This leads to errors in the target tracking angles that may cause the target tracker to fail. A new signal processing algorithm is presented in this paper that is based on the use of optimal Fractional Fourier Transform (FrFT) filtering to solve this problem. The relative performance of the new filtering method over traditional based methods is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters succeeds in effectively cancelling additional target signals appearing in the look direction beam width.

Target Classification With Low-Resolution Radars Based on Multifractal Features in Fractional Fourier Domain

“…Yu et al used FrFT to do detection and delay estimation of moving targets in strong clutter background [11]. Elgamel and Soraghan, adapted FrFT to do adaptive filtering of radar data [12]. Radar target echoes, background and sea clutter of radars all have multifractal characteristics [13][14][15].…”

Matched Filter Implementation, Complexity, and Gain in Fractional Fourier Domain

“…• the complexity (complex multiplications) for an N-point FFT algorithm is (N/2)log2N (for N power of two), • various methods [5][6][7][8][9][10][11][12] are used to implement the FrFT algorithm. The complexity of these algorithms is approximated to Nlog2N.…”

Using empirical mode decomposition and fractional Fourier transform‐segment filtering algorithm to suppress high‐power interference in non‐linear chirp radars

“…The radar received chirp signal (after it is down converted) s ( t ) may be expressed in the baseband as [13] where A is the received signal amplitude, ϕ o is a random phase shift, F d is the Doppler vector, F ϕ is antenna phase factor, and T start is the start time of the returned pulse ( F d , F ϕ , and T start are calculated as in [1]).…”