In this paper, an adaptive algorithm is proposed to develop an orthogonally optimized
waveforms with good correlation properties that are suitable for the detection of
target in the presence of strong clutter. The joint optimization both at the transmitter
and receiver is adapted based on the secondary data and clutter to maximize signal
to interference noise ratio (SINR) with target and clutter knowledge. The result shows
good correlation properties and better SINR and signal to clutter ratio (SCR) compared
to the existing iterative algorithm. The proposed algorithm also shows improved detection
even for lower SCR when implemented with GLRT.