<p>Frequency-diverse array radar uses a beampattern that is dependent on time, space, and angle to provide a distinct advantage in target localization. This work introduces a new method for optimizing transmit array weight by utilizing the inverse fast-Fourier transform (IFFT) algorithm. This approach makes it easier to create a time-invariant transmit beampattern targeted at a particular angular direction and range. With a long dwell period, the resultant beampattern greatly increases the likelihood of correctly identifying even weak objects. By using the double-pulse method, we can determine the precise location of each target in two dimensions by estimating its angle and range. A zero-frequency offset first pulse finds the angle of the target, and then a nonzero-frequency offset second pulse uses the previously determined angle to estimate the range. By reducing noise effects, a specialized receiver can further enhance the accuracy of target parameter estimation. To establish a performance benchmark, we calculate the Cramér-Rao lower bound (CRLB) for both angle and range. Extensive simulations confirm the effectiveness of the suggested design, which performs better than current FDA design techniques, as shown by lower root mean squared error (RMSE) values for range and angle estimates.</p>