The regenerative hybrid adaptive antenna array has recently been proposed for data communications. It utilizes both the steering vector and reference signal, which is acquired from the array output through a detection-generation procedure, to preserve the desired signal while suppressing the interference. The regenerative hybrid adaptive array is much less sensitive to errors in the steering vector than the Applebum-type array. The application of the least-squares method to the regenerative hybrid array to achieve fast convergence is investigated. Recursive algorithms such as the QR decomposition can be used to update the weights for computational efficiency. It is shown that the least-squares regenerative hybrid array converges to the steady state of the original regenerative hybrid array which is based on the gradient search algorithm. The array transient behavior and steady state performance are simulated by computer. Recently, a regenerative hybrid array has been proposed for data communications without using the spread spectrum technique [9], [lo]. It consists of an Applebaum-type array and a regenerative reference loop in which the reference signal is generated through a detection-generation process.