The ESPRIT super-resolution ISAR imaging algorithm doesn't use the conjugate of observation data and it can't estimate the number of scattering centers.For overcoming those shortcomings
a new ISAR imaging algorithm is proposed based on the Unitary ESPRIT technique.Unlike previous ESPRIT imaging algorithm
the new method uses Gerschgorin disk theorem to estimate the number of scattering centers and it improves performance of signal estimation
since the observation data are incorporated with their conjugate.By constructing Centro-Hermitian matrices
the algorithm also provides a reduced computational burden.The validity and feasibility of the new algorithm are verified by using simulated and measured experimental data.